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Search results “Types of data mining techniques ppt templates”
Creative Decision Tree Diagram in PowerPoint
 
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Creative Decision Tree Diagram in PowerPoint Follow this step by step screencast tutorial for a simple decision tree diagram to use in your next presentation. Key Links: ********** 25 Creative Ideas MINI Training https://www.presentation-process.com/25-creative-presentation-ideas-mini-training.html Comprehensive All In One Bundle - PowerPoint Templates: https://www.presentation-process.com/comprehensive-all-in-one-powerpoint-bundle.html **Download Free Sample Templates from Comprehensive Bundle:** https://www.presentation-process.com/download-free-sample-templates-from-comprehensive-all-in-one-bundle.html Ramgopal's PowerPoint Mastery Training Program: https://www.presentation-process.com/ramgopals-powerpoint-mastery-program.html
Views: 5561 Presentation Process
Data Mining and Predictive Analytics Final Project
 
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Modeling Analysis (Education Dataset) in SPSS
Views: 95 gong wen
Data Mining | What is Data Mining - Imarticus
 
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Know more about Data Mining and its applications. The Post Graduate Program in Data Analytics is a 500+ hour program covering foundational concepts and hands-on learning of leading analytical tools, such as SAS, R, Python, Hive, Spark and Tableau as well as functional analytics across many domains. Over the course of 3 semesters, candidates will not only gain theoretical knowledge of data science tools, but also gain exposure to business perspectives and industry best practices through guest lectures and project submissions. Click here to know more about the Program http://imarticus.org/post-graduate-program-in-data-analytics Imarticus Learning is a professional education institute focused on bridging the gap between industry & academia by offering certified industry-endorsed courses in Financial Services, Business Analysis, Business Analytics & Wealth Management. Visit: http://www.imarticus.org
Views: 479 Imarticus Learning
Dissertation Data Presentation Structure and Analysis PowerPoint Presentation Slides
 
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Every organization needs to adapt to the ever-changing business environment. Sensing this need, we have come up with these content-ready change management PowerPoint presentation slides. These change management PPT templates will help you deal with any kind of an organizational change. Be it with people, goals or processes. The business solutions incorporated here will help you identify the organizational structure, create vision for change, implement strategies, identify resistance and risk, manage cost of change, get feedback and evaluation, and much more. With the help of various change management tools and techniques illustrated in this presentation design, you can achieve the desired business outcomes. This business transition PowerPoint design also covers certain related topics such as change model, transformation strategy, change readiness, change control, project management and business process. By implementing the change control methods mentioned in the presentation, you will be able to have a smooth transition in an organization. So, without waiting much, download our extensively researched change management framework presentation. With our Change Management Presentation slides, understand the need for change and plan to go through it without any hassles.
How to Create an Infographic - Part4: How to Design Your Infographic
 
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I'm now on to episode 4 on showing you how you can create beautiful infographics.   Last episode I showed you the steps to take before you create your Infographic.   Now we get to the cool stuff: How to Design your Infographic! We are going to be go over design, colors,  and how to frame your infographics.  I'm going to also show you some great examples and confident by the end of this, you are going to have a much better idea on how to create your own infographic. https://www.visme.co/videos/episode-10-how-to-make-infographics-part-46-how-to-design-your-infographics/ If you want to create your own infographic, head on over here: visme.co/make-infographics/ Image sources: https://www.behance.net/gallery/16995453/Save-The-Animals-Infographic-Series https://survivallife.com/snake-bites-infographic/ http://www.mining.com/web/infographic-a-new-vision-for-the-mining-company-of-the-future/ http://www.adweek.com/digital/best-time-to-post-social-media/ http://mashable.com/2012/11/08/smartphone-theft-city/#90syIJ2A05qS https://www.behance.net/gallery/6063921/Wasted-infographic-facts-on-recycling-and-waste http://www.edtechmagazine.com/k12/article/2016/02/brief-history-evolution-classroom-technologies-infographic http://mashable.com/2013/09/15/vinyl-sales-music/#LlfD_58dWiqz http://www.craveonline.com/culture/773401-whiskey-deconstructed-part-two-distillation-process http://herlovelyheart.stfi.re/why-how-you-should-grow-your-email-list/?sf=wdzjjzy#aa https://www.hellonobo.com/blog/typographie http://www.findingdrishti.com/2012/08/sweat-the-big-picture-infographic/ https://laughingsquid.com/infographic-wedding-invitation/ https://redbooth.com/blog/client-intake-infographic https://blogs.constantcontact.com/social-media-image-sizes-2016/ http://topfoodfacts.com/25-three-ingredient-smoothie-recipes-infographic/ https://www.behance.net/gallery/8859589/Design-x-Food-Infographic http://www.visualistan.com/2015/01/7-european-cities-to-enjoy-in-snow.html http://fibromyalgia.newlifeoutlook.com/infographics/what-is-spoon-theory/ https://futurism.com/images/what-are-algorithms/ https://futurism.com/images/sixth-senses-animal-world/ https://futurism.com/images/seven-wonders-solar-system/ http://www.prb.org/pdf13/2013-WPDS-infographic_MED.pdf http://www.sprint-interactive.com/africa-elephant-poaching-infographic/?utm_source=buffer&utm_campaign=Buffer&utm_content=buffer6f75c&utm_medium=twitter http://www.visualdive.com/category/format/infographic-cat/page/42/?filter_by=random_posts http://visual.ly/interior-design-through-decades https://www.behance.net/gallery/32312015/Star-Wars-The-Force-Awakens-Infographic http://blog.glassticwaterbottle.com/the-growing-global-water-footprint/ http://www.visualistan.com/2013/09/the-travel-blogging-state-2013.html http://www.visualistan.com/2016/12/how-to-make-yourself-work-when-youre-not-feeling-it.html https://www.behance.net/gallery/17772117/NBA-Infographic-Kevin-Durant?utm_medium=email&utm_source=transactional&utm_campaign=project-published http://geektyrant.com/news/infographic-john-wick-kills-broken-down-into-accuracy-location-and-more https://nest.com/blog/2012/04/05/thermostats-energy-waste-infographic/ http://visual.ly/free-infographic-broadway-numbers https://s3.amazonaws.com/wp_media-prod/app/uploads/2013/09/harvard-infographic-harvard-law-school-by-the-numbers.png http://www.worldbank.org/en/news/feature/2014/01/16/infographic-thirsty-energy-energy-and-water-interdependence
Views: 39176 visme
Market Segmentation And Targeting PowerPoint Presentation Slides
 
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Every organization needs to adapt to the ever-changing business environment. Sensing this need, we have come up with these content-ready change management PowerPoint presentation slides. These change management PPT templates will help you deal with any kind of an organizational change. Be it with people, goals or processes. The business solutions incorporated here will help you identify the organizational structure, create vision for change, implement strategies, identify resistance and risk, manage cost of change, get feedback and evaluation, and much more. With the help of various change management tools and techniques illustrated in this presentation design, you can achieve the desired business outcomes. This business transition PowerPoint design also covers certain related topics such as change model, transformation strategy, change readiness, change control, project management and business process. By implementing the change control methods mentioned in the presentation, you will be able to have a smooth transition in an organization. So, without waiting much, download our extensively researched change management framework presentation. With our Change Management Presentation slides, understand the need for change and plan to go through it without any hassles.
Business Data Analysis with Excel
 
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Lecture Starts at: 8:25 Business data presents a challenge for the data analyst. Business data is often aggregated, recorded over time, and tends to exhibit autocorrelation. Additionally, and most problematically, the amount of business data is usually quite limited. These characteristics lead to a situation where many of the tools in the analyst's tool belt (e.g., regression) aren't ideal for the task. Despite these challenges, proper analysis of business data represents a fundamental skill required of Business/Data Analysts, Product/Program Managers, and Data Scientists. At this meetup presenter Dave Langer will show how to get started analyzing business data in a robust way using Excel – no programming or statistics required! Dave will cover the following during the presentation: • The types of business data and why business data is a unique analytical challenge. • Requirements for robust business data analysis. • Using histograms, running records, and process behavior charts to analyze business data. • The rules of trend analysis. • How to properly compare business data across time, organizations, geographies, etc.Where you can learn more about the tools and techniques. *Excel spreadsheets can be found here: https://code.datasciencedojo.com/datasciencedojo/tutorials/tree/master/Business%20Data%20Analysis%20with%20Excel **Find out more about David here: https://www.meetup.com/data-science-dojo/events/236198327/ -- Learn more about Data Science Dojo here: https://hubs.ly/H0hz7sf0 Watch the latest video tutorials here: https://hubs.ly/H0hz8rL0 See what our past attendees are saying here: https://hubs.ly/H0hz7ts0 -- Like Us: https://www.facebook.com/datasciencedojo/ Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/data-science-dojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo/ Vimeo: https://vimeo.com/datasciencedojo
Views: 51517 Data Science Dojo
Presentation Data Mining & Decision-making: Case of Amazon.com
 
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Week 2 assignment for MooreFMIS7003 course at NCU. Prepared by FahmeenaOdetta Moore.
Visual Data Representation Techniques: Combining Art and Design
 
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Representing data visually is the way to design and market your content. People are using images, videos and infographics to display information in an interactive way. How can people "see" your data and not simply read it? Here are data visualization techniques to uplift your dreary content. For more on data visualization, visit our blog: http://blog.logodesignguru.com/data-v... Want design updates? Visit our social media pages: Google: https://plus.google.com/+Logodesigngu... Twitter: https://twitter.com/LogoDesignGuru Facebook: https://www.facebook.com/LogoDesignGuru/ LinkedIn: https://www.linkedin.com/company/logodesignguru Enjoy Watching!
Views: 2193 Logo Design Guru
Cluster Analysis for Market Segmentation (.ppt) || #004
 
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Cluster Analysis for Market Segmentation in Presentation Format.. Include information about Cluster Analysis and the relation between Cluster Analysis and Market Segmentation .. This is only for EDUCATIONAL & KNOWLEDGE purpose... :).. Hit Like if you Like the video & comment..
Views: 1060 Vishal TecHs
K-Fold Cross Validation - Intro to Machine Learning
 
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This video is part of an online course, Intro to Machine Learning. Check out the course here: https://www.udacity.com/course/ud120. This course was designed as part of a program to help you and others become a Data Analyst. You can check out the full details of the program here: https://www.udacity.com/course/nd002.
Views: 173586 Udacity
DATA MINING RAINFALL PREDICTION
 
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-- Created using Powtoon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 21 Nurul Amira
Research Methods - Introduction
 
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In this video, Dr Greg Martin provides an introduction to research methods, methedology and study design. Specifically he takes a look at qualitative and quantitative research methods including case control studies, cohort studies, observational research etc. Global health (and public health) is truly multidisciplinary and leans on epidemiology, health economics, health policy, statistics, ethics, demography.... the list goes on and on. This YouTube channel is here to provide you with some teaching and information on these topics. I've also posted some videos on how to find work in the global health space and how to raise money or get a grant for your projects. Please feel free to leave comments and questions - I'll respond to all of them (we'll, I'll try to at least). Feel free to make suggestions as to future content for the channel. SUPPORT: —————- This channel has a crowd-funding campaign (please support if you find these videos useful). Here is the link: http://bit.ly/GH_support OTHER USEFUL LINKS: ———————— Channel page: http://bit.ly/GH_channel Subscribe: http://bit.ly/GH_subscribe Google+: http://bit.ly/GH_Google Twitter: @drgregmartin Facebook: http://bit.ly/GH_facebook HERE ARE SOME PLAYLISTS ——————————————- Finding work in Global Health: http://bit.ly/GH_working Epidemiology: http://bit.ly/GH_epi Global Health Ethics: http://bit.ly/GH_ethics Global Health Facts: http://bit.ly/GH_facts WANT CAREER ADVICE? ———————————— You can book time with Dr Greg Martin via Google Helpouts to get advice about finding work in the global health space. Here is the link: http://bit.ly/GH_career -~-~~-~~~-~~-~- Please watch: "Know how interpret an epidemic curve?" https://www.youtube.com/watch?v=7SM4PN7Yg1s -~-~~-~~~-~~-~-
Data Processing Cycle
 
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-- Created using PowToon -- Free sign up at http://www.powtoon.com/youtube/ -- Create animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 36276 Julia Qistina
AI vs Machine Learning vs Deep Learning | Machine Learning Training with Python | Edureka
 
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** NIT Warangal Post Graduate Program on AI and Machine Learning: https://www.edureka.co/nitw-ai-ml-pgp ** This Edureka Machine Learning tutorial (Machine Learning Tutorial with Python Blog: https://goo.gl/fe7ykh ) on "AI vs Machine Learning vs Deep Learning" talks about the differences and relationship between AL, Machine Learning and Deep Learning. Below are the topics covered in this tutorial: 1. AI vs Machine Learning vs Deep Learning 2. What is Artificial Intelligence? 3. Example of Artificial Intelligence 4. What is Machine Learning? 5. Example of Machine Learning 6. What is Deep Learning? 7. Example of Deep Learning 8. Machine Learning vs Deep Learning Machine Learning Tutorial Playlist: https://goo.gl/UxjTxm - - - - - - - - - - - - - - - - - Subscribe to our channel to get video updates. Hit the subscribe button above: https://goo.gl/6ohpTV Instagram: https://www.instagram.com/edureka_learning Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Telegram: https://t.me/edurekaupdates - - - - - - - - - - - - - - - - - #edureka #AIvsMLvsDL #PythonTutorial #PythonMachineLearning #PythonTraining How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka's Python Online Certification Training will make you an expert in Python programming. It will also help you learn Python the Big data way with integration of Machine learning, Pig, Hive and Web Scraping through beautiful soup. During our Python Certification training, our instructors will help you: 1. Master the Basic and Advanced Concepts of Python 2. Understand Python Scripts on UNIX/Windows, Python Editors and IDEs 3. Master the Concepts of Sequences and File operations 4. Learn how to use and create functions, sorting different elements, Lambda function, error handling techniques and Regular expressions ans using modules in Python 5. Gain expertise in machine learning using Python and build a Real Life Machine Learning application 6. Understand the supervised and unsupervised learning and concepts of Scikit-Learn 7. Master the concepts of MapReduce in Hadoop 8. Learn to write Complex MapReduce programs 9. Understand what is PIG and HIVE, Streaming feature in Hadoop, MapReduce job running with Python 10. Implementing a PIG UDF in Python, Writing a HIVE UDF in Python, Pydoop and/Or MRjob Basics 11. Master the concepts of Web scraping in Python 12. Work on a Real Life Project on Big Data Analytics using Python and gain Hands on Project Experience - - - - - - - - - - - - - - - - - - - Why learn Python? Programmers love Python because of how fast and easy it is to use. Python cuts development time in half with its simple to read syntax and easy compilation feature. Debugging your programs is a breeze in Python with its built in debugger. Using Python makes Programmers more productive and their programs ultimately better. Python continues to be a favorite option for data scientists who use it for building and using Machine learning applications and other scientific computations. Python runs on Windows, Linux/Unix, Mac OS and has been ported to Java and .NET virtual machines. Python is free to use, even for the commercial products, because of its OSI-approved open source license. Python has evolved as the most preferred Language for Data Analytics and the increasing search trends on python also indicates that Python is the next "Big Thing" and a must for Professionals in the Data Analytics domain. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Customer Review Sairaam Varadarajan, Data Evangelist at Medtronic, Tempe, Arizona: "I took Big Data and Hadoop / Python course and I am planning to take Apache Mahout thus becoming the "customer of Edureka!". Instructors are knowledge... able and interactive in teaching. The sessions are well structured with a proper content in helping us to dive into Big Data / Python. Most of the online courses are free, edureka charges a minimal amount. Its acceptable for their hard-work in tailoring - All new advanced courses and its specific usage in industry. I am confident that, no other website which have tailored the courses like Edureka. It will help for an immediate take-off in Data Science and Hadoop working."
Views: 515931 edureka!
Decision Tree Tutorial in 7 minutes with Decision Tree Analysis & Decision Tree Example (Basic)
 
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Clicked here http://www.MBAbullshit.com/ and OMG wow! I'm SHOCKED how easy.. No wonder others goin crazy sharing this??? Share it with your other friends too! Fun MBAbullshit.com is filled with easy quick video tutorial reviews on topics for MBA, BBA, and business college students on lots of topics from Finance or Financial Management, Quantitative Analysis, Managerial Economics, Strategic Management, Accounting, and many others. Cut through the bullshit to understand MBA!(Coming soon!) http://www.youtube.com/watch?v=a5yWr1hr6QY
Views: 566618 MBAbullshitDotCom
data mining in healthcare
 
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how does the data mining technique help in solving healthcare problem-- Created using PowToon -- Free sign up at http://www.powtoon.com/ . Make your own animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 6462 Fouz Alaseeri
GUI ( Graphical user interface ) Full concept in hindi | HMI tutorials
 
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In this video we have explained the basic concept of GUI ( graphical user interface ) in hindi and also explain how it is used in Human machine interaction design For full course:https://goo.gl/J9Fgo7 HMI notes form : https://goo.gl/forms/W81y9DtAJGModoZF3 Topic wise: HMI(human machine interaction):https://goo.gl/bdZVyu 3 level of processing:https://goo.gl/YDyj1K Fundamental principle of interaction:https://goo.gl/xCqzoL Norman Seven stages of action : https://goo.gl/vdrVFC Human Centric Design : https://goo.gl/Pfikhf Goal directed Design : https://goo.gl/yUtifk Qualitative and Quantitative research:https://goo.gl/a3izUE Interview Techniques for Qualitative Research :https://goo.gl/AYQHhF Gestalt Principles : https://goo.gl/Jto36p GUI ( Graphical user interface ) Full concept : https://goo.gl/2oWqgN Advantages and Disadvantages of Graphical System (GUI) : https://goo.gl/HxiSjR Design an KIOSK:https://goo.gl/Z1eizX Design mobile app and portal sum:https://goo.gl/6nF3UK whatsapp: 7038604912
Views: 43122 Last moment tuitions
Data Analytics for Beginners | Introduction to Data Analytics | Data Analytics Tutorial
 
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Data Analytics for Beginners -Introduction to Data Analytics https://acadgild.com/big-data/data-analytics-training-certification?utm_campaign=enrol-data-analytics-beginners-THODdNXOjRw&utm_medium=VM&utm_source=youtube Hello and Welcome to data analytics tutorial conducted by ACADGILD. It’s an interactive online tutorial. Here are the topics covered in this training video: • Data Analysis and Interpretation • Why do I need an Analysis Plan? • Key components of a Data Analysis Plan • Analyzing and Interpreting Quantitative Data • Analyzing Survey Data • What is Business Analytics? • Application and Industry facts • Importance of Business analytics • Types of Analytics & examples • Data for Business Analytics • Understanding Data Types • Categorical Variables • Data Coding • Coding Systems • Coding, coding tip • Data Cleaning • Univariate Data Analysis • Statistics Describing a continuous variable distribution • Standard deviation • Distribution and percentiles • Analysis of categorical data • Observed Vs Expected Distribution • Identifying and solving business use cases • Recognizing, defining, structuring and analyzing the problem • Interpreting results and making the decision • Case Study Get started with Data Analytics with this tutorial. Happy Learning For more updates on courses and tips follow us on: Facebook: https://www.facebook.com/acadgild Twitter: https://twitter.com/acadgild LinkedIn: https://www.linkedin.com/company/acadgild
Views: 271106 ACADGILD
Data Visualization Essentials: Visual Aspects
 
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This video is a sample from Skillsoft's video course catalog. After watching it, you will be able to design and determine the position, size, color, contrast, and shape for the data visualization. Joe Khoury is a Professional Engineer, IT Consultant, and Entrepreneur. As a professional engineer, he has logged over 8000 hours managing projects. Driven by entrepreneurial motivation, Mr. Khoury has founded and sold two IT-based businesses and has been involved in the elearning market for the better part of 12 years. Mr. Khoury writes for an IT-based elearning blog and is a published author for the IEEE. He often speaks at IT conferences on technology-based subjects globally. Skillsoft is a pioneer in the field of learning with a long history of innovation. Skillsoft provides cloud-based learning solutions for our customers worldwide, who range from global enterprises, government and education customers to mid-sized and small businesses. Learn more at http://www.skillsoft.com. https://www.linkedin.com/company/skillsoft http://www.twitter.com/skillsoft https://www.facebook.com/skillsoft
Views: 17947 Skillsoft YouTube
Hazard Identification and Risk Assessment (HIRA) Part-1/3 (Hindi) HD | Safety Training | Team OHSE
 
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Hazard: Anything (e.g. condition, situation, practice, behavior) that has the potential to cause harm, including injury, disease, death, environmental, property and equipment damage. A hazard can be a thing or a situation. Hazard Identification: This is the process of examining each work area and work task for the purpose of identifying all the hazards which are “inherent in the job”. Work areas include but are not limited to machine workshops, laboratories, office areas, agricultural and horticultural environments, stores and transport, maintenance and grounds, reprographics, and lecture theatres and teaching spaces. Tasks can include (but may not be limited to) using screen-based equipment, audio and visual equipment, industrial equipment, hazardous substances and/or teaching/dealing with people, driving a vehicle, dealing with emergency situations, construction. This process is about finding what could cause harm in work task or area. Risk: The likelihood, or possibility, that harm (injury, illness, death, damage etc) may occur from exposure to a hazard. Risk Assessment: Is defined as the process of assessing the risks associated with each of the hazards identified so the nature of the risk can be understood. This includes the nature of the harm that may result from the hazard, the severity of that harm and the likelihood of this occurring. Please Be SAFE & ALERT. Trainer's Name - Mohd. Syeed Siddiqui https://www.linkedin.com/in/mohdsyeeds/ For any business related queries, please contact - [email protected] Like Us on Facebook www.fb.com/teamohse Follow us on Instagram @teamohse
Views: 63755 Team OHSE
How to predict students' performance?
 
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Talk presented at SSCI2014, in Orlando. Download paper from: http://personal.ee.surrey.ac.uk/Personal/Norman.Poh/data/poh_gradcert.pdf Abstract: Student performance depends upon factors other than intrinsic ability, such as environment, socio-economic status, personality and familial-context. Capturing these patterns of influence may enable an educator to ameliorate some of these factors, or for governments to adjust social policy accordingly. In order to understand these factors, we have undertaken the exercise of predicting student performance, using a cohort of approximately 8,000 South African college students. They all took a number of tests in English and Maths. We show that it is possible to predict English comprehension test results from (1) other test results; (2) from covariates about self-efficacy, social economic status, and specific learning difficulties there are 100 survey questions altogether; (3) from other test results + covariates (combination of (1) and (2)); and from (4) a more advanced model similar to (3) except that the covariates are subject to dimensionality reduction (via PCA). Models 1-4 can predict student performance up to a standard error of 13-15%. In comparison, a random guess would have a standard error of 17%. In short, it is possible to conditionally predict student performance based on self-efficacy, socio-economic background, learning difficulties, and related academic test results.
Views: 6530 Norman Poh
Data Analysis in SPSS Made Easy
 
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Use simple data analysis techniques in SPSS to analyze survey questions.
Views: 858080 Claus Ebster
Tales from the Malware Lab Ep 2 - Zusy Powerpoint Attack
 
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In Episode 2 of Tales from the Malware Lab, we discuss the Zusy trojan, how it infects your network, and how it can be identified by its communications. Don't forget to subscribe to our channel to be notified when new videos are posted. GREYCORTEX MENDEL is a network traffic analysis tool delivering network security to network security professionals. It uses advanced artificial intelligence, machine learning, and data mining methods to help organizations make their IT operations secure and reliable. MENDEL detects advanced persistent threats, malware, ransomware, trojans, RATS, zero-day attacks, and other cyber threats to sensitive data, networks, trade secrets, and reputations, which other network security products miss. It works with IoT and BYOD devices and makes organizations maintain GDPR compliance. MENDEL is unique because is integrated with an intrusion detection system (IDS) to faster identify malware signatures, and because it can differentiate between human and machine communication in the network. MENDEL monitors a very rich set of network flow data, and it is able to identify communication flows between devices within the network down to, and including the application layer. This means the full network is visible to the security analyst. MENDEL offers the functionality to identify performance problems within the network (e.g. too slow connection, devices which are transferring data to non-responsive hosts, duplicate MAC addresses, etc.) as well. This flow data is also filterable in GREYCORTEX MENDEL, so that a security analyst can identify data for one host, one service, one device or type of traffic, etc. (or all together).
Views: 212 GREYCORTEX
Six Sigma: Root Cause Analysis Examples
 
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Examples showing how to apply various tools to perform a Root Cause Analysis. You can get products to help yourself with similar root cause analysis problems at http://bit.ly/2jyMt3C. ----- Links: PMG Results Website: https://www.pmgresults.com/ Have a Question? https://www.pmgresutls.com/contact/ QuikSigma Software Perpetual Licencse: http://bit.ly/2mxagk2 Basic Green Belt Certification: http://bit.ly/2mx5Ycw Advanced Green Belt Certification: http://bit.ly/2nhg8Os Black Belt Certification: http://bit.ly/2mV6Z0z ----- Basic Principles of Root Cause Analysis 00:13 Five whys 00:51 Variation Breakdown/Thought Map 1:52 Pareto Charts 4:02 Process Map, Cause and Effect Matrix, FMEA 4:25 Process Behavior Charts (Control Charts, I-MR Charts) 5:25 Data Mining, Exploratory Data Analysis (EDA) 6:40
Views: 123739 QuikSigma
SPSS Questionnaire/Survey Data Entry - Part 1
 
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How to enter and analyze questionnaire (survey) data in SPSS is illustrated in this video. Lots more Questionnaire/Survey & SPSS Videos here: https://www.udemy.com/survey-data/?couponCode=SurveyLikertVideosYT Check out our next text, 'SPSS Cheat Sheet,' here: http://goo.gl/b8sRHa. Prime and ‘Unlimited’ members, get our text for free. (Only 4.99 otherwise, but likely to increase soon.) Survey data Survey data entry Questionnaire data entry Channel Description: https://www.youtube.com/user/statisticsinstructor For step by step help with statistics, with a focus on SPSS. Both descriptive and inferential statistics covered. For descriptive statistics, topics covered include: mean, median, and mode in spss, standard deviation and variance in spss, bar charts in spss, histograms in spss, bivariate scatterplots in spss, stem and leaf plots in spss, frequency distribution tables in spss, creating labels in spss, sorting variables in spss, inserting variables in spss, inserting rows in spss, and modifying default options in spss. For inferential statistics, topics covered include: t tests in spss, anova in spss, correlation in spss, regression in spss, chi square in spss, and MANOVA in spss. New videos regularly posted. Subscribe today! YouTube Channel: https://www.youtube.com/user/statisticsinstructor Video Transcript: In this video we'll take a look at how to enter questionnaire or survey data into SPSS and this is something that a lot of people have questions with so it's important to make sure when you're working with SPSS in particular when you're entering data from a survey that you know how to do. Let's go ahead and take a few moments to look at that. And here you see on the right-hand side of your screen I have a questionnaire, a very short sample questionnaire that I want to enter into SPSS so we're going to create a data file and in this questionnaire here I've made a few modifications. I've underlined some variable names here and I'll talk about that more in a minute and I also put numbers in parentheses to the right of these different names and I'll also explain that as well. Now normally when someone sees this survey we wouldn't have gender underlined for example nor would we have these numbers to the right of male and female. So that's just for us, to help better understand how to enter these data. So let's go ahead and get started here. In SPSS the first thing we need to do is every time we have a possible answer such as male or female we need to create a variable in SPSS that will hold those different answers. So our first variable needs to be gender and that's why that's underlined there just to assist us as we're doing this. So we want to make sure we're in the Variable View tab and then in the first row here under Name we want to type gender and then press ENTER and that creates the variable gender. Now notice here I have two options: male and female. So when people respond or circle or check here that they're male, I need to enter into SPSS some number to indicate that. So we always want to enter numbers whenever possible into SPSS because SPSS for the vast majority of analyses performs statistical analyses on numbers not on words. So I wouldn't want and enter male, female, and so forth. I want to enter one's, two's and so on. So notice here I just arbitrarily decided males get a 1 and females get a 2. It could have been the other way around but since male was the first name listed I went and gave that 1 and then for females I gave a 2. So what we want to do in our data file here is go head and go to Values, this column, click on the None cell, notice these three dots appear they're called an ellipsis, click on that and then our first value notice here 1 is male so Value of 1 and then type Label Male and then click Add. And then our second value of 2 is for females so go ahead and enter 2 for Value and then Female, click Add and then we're done with that you want to see both of them down here and that looks good so click OK. Now those labels are in here and I'll show you how that works when we enter some numbers in a minute. OK next we have ethnicity so I'm going to call this variable ethnicity. So go ahead and type that in press ENTER and then we're going to the same thing we're going to create value labels here so 1 is African-American, 2 is Asian-American, and so on. And I'll just do that very quickly so going to Values column, click on the ellipsis. For 1 we have African American, for 2 Asian American, 3 is Caucasian, and just so you can see that here 3 is Caucasian, 4 is Hispanic, and other is 5, so let's go ahead and finish that. Four is Hispanic, 5 is other, so let's go to do that 5 is other. OK and that's it for that variable. Now we do have it says please state I'll talk about that next that's important when they can enter text we have to handle that differently.
Views: 634929 Quantitative Specialists
Interviewing with McKinsey: Case study interview
 
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Learn what to expect during the case study interview. Hear what some recent hires did - and did not - do to prepare.
Views: 631598 McKinsey & Company
Building a Gesture Recognition System using Deep Learning - Joanna Materzyńska
 
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Description In this talk I will introduce a Python-based, deep learning gesture recognition model. The model is deployed on an embedded system, works in real-time and can recognize 25 different hand gestures from a simple RGB webcam stream. it uses a simple laptop camera and allows for building playful user interfaces that are controlled with hand gestures. Lastly I will show a demo of such application. Abstract In this talk I will introduce a Python-based, deep learning gesture recognition model. The model is deployed on an embedded system, works in real-time and can recognize 25 different hand gestures from simple webcam stream. In contrast to traditional vision-based gesture controllers like the Microsoft Kinect, our system requires no depth information. The development of such an architecture is a complex process that requires careful consideration during each step. I will guide you through our process and share the lessons we learned. This includes: our large-scale crowd-acting operation to collect over 150,000 short video clips, our process to decide which deep learning framework to use, the development of a network architecture that allows for classifications of video clips solely with RGB input frames, the iterations necessary to make the neural network run in real-time on embedding devices, and lastly, the discovery and development of playful gesture-based applications. www.pydata.org PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other. The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to) Python, Julia, and R. PyData conferences aim to be accessible and community-driven, with novice to advanced level presentations. PyData tutorials and talks bring attendees the latest project features along with cutting-edge use cases.
Views: 13701 PyData
Introduction To Cluster Analysis
 
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This is short tutorial for What it is? (What do we mean by a cluster?) How it is different from decision tree? What is distance and linkage function? What is hierarchical clustering? What is scree plot & dendogram? What is non hierarchical clustering (k-means)? How to learn it in detail (step by step)? --------------------------------- Read in great detail along with Excel output, computation and SAS code ---------------------------------- https://www.udemy.com/cluster-analysis-motivation-theory-practical-application/?couponCode=FB_CA_001
Views: 139246 Gopal Malakar
DATA MINING - Strength vs. Reliability of a Relation between Variables
 
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None-- Created using PowToon -- Free sign up at http://www.powtoon.com/ . Make your own animated videos and animated presentations for free. PowToon is a free tool that allows you to develop cool animated clips and animated presentations for your website, office meeting, sales pitch, nonprofit fundraiser, product launch, video resume, or anything else you could use an animated explainer video. PowToon's animation templates help you create animated presentations and animated explainer videos from scratch. Anyone can produce awesome animations quickly with PowToon, without the cost or hassle other professional animation services require.
Views: 33 Amalina Supandi
Create Butterfly Price Table with Optionvue Data
 
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How to create an Excel table containing butterfly prices across multiple strike prices and across different dates by using data exported from Optionvue
Views: 2153 Kevin Lee
The Complete Data Science Project Management using CRISP-DM methodology
 
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Discount Offer for first 25 subscribers till 15 October. Enroll for complete course less than 12$ (over 92% discount) on udemy through this link: https://www.udemy.com/data-science-project-management/?couponCode=YOUTUBE 100% refund within 30 days, if you are not satisfied with the course. Lifetime Access and Online Instructor support through discussion form This course is to enable learners to successfully manage a data science project. It is process oriented and explains CRISP-DM methodology. CRISP-DM, stands for Cross Industry Standard Process for Data Mining, and it is the most widely used, holistic framework for data science projects. This course takes you through the data mining activities in the context of Project Management. The project explains inputs and outputs of all activities helping effective project management of a data science project. As per the Project Management best practices it guides you to engage the right stakeholders to help setting Data Mining Success criteria to achieve the business goals. Machine Learning and Model building activities using Python or R are an important activities in any data science project. However, there are several other activities that are part of any Data Science project. The data needs to be prepared for application of machine learning techniques. There are lot of steps involved in preparing a data-set which would be suitable for achieving the business goal of the data science project. In this course, we are going to take a broader look and identify how each activity of CRISP-DM fits together towards achieving business outcomes of a data science project. The course lists the monitoring, reporting and user training needs during the execution of data science project. The data science project needs to conclude with deployment of data mining results and review of lessons learned. All the above activities are sequenced in this course along with their purpose and elaborate details for end to end execution of a data science project.
Views: 76 HiTech Squad
EVE Fanfest 2016 - Pillars of the EVE Online Economy Infographic
 
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@CCPQuant takes you through the pillars of the player driven economy in EVE Online, where wars and conflict keep the wheels of the economy turning. Having perfect information on everything that happens and exists in this virtual economy, we can compare daily produced value to daily mining yield and destroyed assets, in the context of EVE's great wars and the total asset value of every single item in the game, from a single grain of Tritanium to the largest ships in EVE. For more economic wizardry, check out the March 2016 Monthly Economic Report https://community.eveonline.com/news/dev-blogs/monthly-economic-report-march-2016/ See the full EVE Online Keynote here: https://www.youtube.com/watch?v=X3pw2eE_2ZE To try EVE for free, head over to http://www.eveonline.com
Views: 9612 EVE Online
Talks@12: Data Science & Medicine
 
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Innovations in ways to compile, assess and act on the ever-increasing quantities of health data are changing the practice and police of medicine. Statisticians Laura Hatfield and Sherri Rose will discuss recent methodological advances and the impact of big data on human health. Speakers: Laura Hatfield, PhD Associate Professor, Department of Health Care Policy, Harvard Medical School Sherri Rose, PhD Associate Professor, Department of Health Care Policy, Harvard Medical School Like Harvard Medical School on Facebook: https://goo.gl/4dwXyZ Follow on Twitter: https://goo.gl/GbrmQM Follow on Instagram: https://goo.gl/s1w4up Follow on LinkedIn: https://goo.gl/04vRgY Website: https://hms.harvard.edu/
15 Best Free Books for Machine Learning | Download Link Available
 
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Books links on Amazon available here: https://tinyurl.com/yb94wz3k Free Books links available here: https://openload.co/f/IX6_AKTAcTQ https://openload.co/f/qe-5ppSbmGY https://openload.co/f/kfZ88_uvHG4 https://openload.co/f/F4UtH9JQkrA https://openload.co/f/gvz5ORAGtb0 On Amazon : 1.Machine Learning For Absolute Beginners: A Plain English Introduction (Second Edition) (Machine Learning For Beginners Book 1): https://amzn.to/2S6o6sF 2.Python Machine Learning By Example:https://amzn.to/2GsfmvP 3.Learning scikit-learn: Machine Learning in Python : https://amzn.to/2GtBllY 4.Machine Learning in Python : https://amzn.to/2STxNL3 5.Building Machine Learning Systems with Python : https://amzn.to/2S7MHxt 6.Beginning Python Visualization: Crafting Visual Transformation Scripts (Books for Professionals by Professionals) : https://amzn.to/2BwQqNM 7. Data Analysis with Open Source Tools: A Hands-On Guide for Programmers and Data Scientists : https://amzn.to/2S6p34d 8.Machine Learning in Action : https://amzn.to/2BpDN7f 9.Mining The Social Web: Data Mining Facebook, Twitter, LinkedIn, Google+, GitHub and More : https://amzn.to/2S3armh 10.Advanced Machine Learning with Python : https://amzn.to/2GB5qzU 11.MACHINE LEARNING WITH PYTHON- An Approach to Applied Machine Learning : https://amzn.to/2CjMH7X 12. Machine Learning for Hackers: Case Studies and Algorithms to Get You Started : https://amzn.to/2S8jp1I 13. Vital Introduction to Machine Learning with Python: Best Practices to Improve and Optimize Machine Learning Systems and Algorithms (Computer Coding Book 2): https://amzn.to/2CkKoSb 14.Introduction to Machine Learning with Python: A Guide for Data Scientists :https://amzn.to/2GszTQH 15. Data Mining: Practical Machine Learning Tools and Techniques: https://amzn.to/2GoC3AU 16. Python: Advanced Predictive Analytics : https://amzn.to/2SapMl2 #freebooks #machinelearning #bestbooks
Views: 332 MLAIT
Introduction to cloud computing and classification of cloud computing -part 1
 
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Cloud Computing is delivering computing resources over the internet. Computing Resources includes everything starting from applications to data centers. Cloud computing offers elastic resources -scale up and scale down to meet the demand . The best part of the cloud is pay for what you use. Classification of cloud 1) Deployment model 2) Service model Deployment model 1) Public Cloud 2) Private Cloud 3) Hybrid Cloud Service model 1) IAAS(Infrastructure as a Service) 2) PAAS(Platform as a Service) 3) SAAS(Software as a Service) ----------------------------------------------------------------------------------------------------------- If you like the video like and subscribe. Cloud Computing online training contact -- [email protected]
Views: 144 Secure Your Website
Failure Analysis Techniques (FMEA, FMECA, FMEDA)
 
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Introduction to Failure Analysis Techniques: FMEA - Failure Modes and Effects Analysis FMECA - Failure Modes, Effects and Criticality Analysis
Views: 25551 Vladimir Keleshev
Heterogeneous Data Storage Management with Deduplication in Cloud Computing
 
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Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ https://myprojectbazaar.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/myprojectbazaar Mail Us: [email protected]
Views: 56 myproject bazaar
KNN Algorithm using Python | How KNN Algorithm works | Python Data Science Training | Edureka
 
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** Python for Data Science: https://www.edureka.co/python ** This Edureka video on KNN Algorithm will help you to build your base by covering the theoretical, mathematical and implementation part of the KNN algorithm in Python. Topics covered under this video includes: 1. What is KNN Algorithm? 2. Industrial Use case of KNN Algorithm 3. How things are predicted using KNN Algorithm 4. How to choose the value of K? 5. KNN Algorithm Using Python 6. Implementation of KNN Algorithm from scratch Check out our playlist for more videos: http://bit.ly/2taym8X Subscribe to our channel to get video updates. Hit the subscribe button above. #KNNAlgorithm #MachineLearningUsingPython #MachineLearningTraining How it Works? 1. This is a 5 Week Instructor led Online Course,40 hours of assignment and 20 hours of project work 2. We have a 24x7 One-on-One LIVE Technical Support to help you with any problems you might face or any clarifications you may require during the course. 3. At the end of the training you will be working on a real time project for which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - - - - About the Course Edureka’s Machine Learning Course using Python is designed to make you grab the concepts of Machine Learning. The Machine Learning training will provide deep understanding of Machine Learning and its mechanism. As a Data Scientist, you will be learning the importance of Machine Learning and its implementation in python programming language. Furthermore, you will be taught Reinforcement Learning which in turn is an important aspect of Artificial Intelligence. You will be able to automate real life scenarios using Machine Learning Algorithms. Towards the end of the course, we will be discussing various practical use cases of Machine Learning in python programming language to enhance your learning experience. After completing this Machine Learning Certification Training using Python, you should be able to: Gain insight into the 'Roles' played by a Machine Learning Engineer Automate data analysis using python Describe Machine Learning Work with real-time data Learn tools and techniques for predictive modeling Discuss Machine Learning algorithms and their implementation Validate Machine Learning algorithms Explain Time Series and it’s related concepts Gain expertise to handle business in future, living the present - - - - - - - - - - - - - - - - - - - Why learn Machine Learning with Python? Data Science is a set of techniques that enables the computers to learn the desired behavior from data without explicitly being programmed. It employs techniques and theories drawn from many fields within the broad areas of mathematics, statistics, information science, and computer science. This course exposes you to different classes of machine learning algorithms like supervised, unsupervised and reinforcement algorithms. This course imparts you the necessary skills like data pre-processing, dimensional reduction, model evaluation and also exposes you to different machine learning algorithms like regression, clustering, decision trees, random forest, Naive Bayes and Q-Learning. For more information, Please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll free). Instagram: https://www.instagram.com/edureka_learning/ Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 57115 edureka!
Microsoft Excel financial Formula advanced
 
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Advance Excel & MIS Training Institute Dear Learner, IPT has provide you Training for Advance Excel 2013, Excel Dashboard , MIS Reporting in Excel and Excel VBA Macros Code Programming , Out training conduct on Class Room and Online at your home and our centre , we have class recording facility, after class you will take all class recording , our trainer has a more then 10 years working Experience Course Bullet 1. Excel All Option and Command 2. Advance Formatting 3. Pivot Data Reporting and Advance Pivot Concept 4. More than 200 Excel formulas 5. Array Formulas 6. Array with VLookup, HLookup and more Formulas 7. Formulas Nesting 8. Other Data Connection 9. Dynamic Chart and Graph 10. Report Automation 11. Dashboard Reporting 12. Excel VBA Editor Concept 13. Coding object Model 14. Data type , LOOP, IF Else 15. Excel VBA Event and Formulas Making 16. User form 17. User form Connection 18. Outlook Mail Connection 19. CDO Gmail connection 20. Web Form Connection 21. Pivot and Chart VBA Event 22. Other Application and PowerPoint Connection Benefited of Our Training *Get the 4 Days Demo Training Free *Our Training is Personal Training * Only one Person in one Batch * 100% Live and Practical's Training * Received Every Classes Video Recording For Practice * Job Helping Nature * Help for Interview Preparation Click Hare Download Complete Course Outline and Fee Details For Fee Details Call Me and Log on my site Advance Excel and MIS Training with VBA Macros Sujeet Kumar AEMTI 8802579388, 9718724322 www.excelonline.webs.com www.iptonline,in www.advanceexceltraining.webs.com
Views: 2275 Sandeep Singh
How Random Forest algorithm works
 
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In this video I explain very briefly how the Random Forest algorithm works with a simple example composed by 4 decision trees. The presentation is available at: https://prezi.com/905bwnaa7dva/?utm_campaign=share&utm_medium=copy
Views: 318402 Thales Sehn Körting
How-to Make a USA Today InfoGraphic Bar Chart In Excel
 
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Free File Download and Step-by-Step Tutorial here: http://exceldashboardtemplates.com/InfoGraphicBarChart Learn how to make an infographic chart in Excel just like you have seen in the USA Today. This Women's US Soccer Team Appearances bar chart uses interesting techniques with shapes combined with graphics and an Excel Bar Chart.
Efficient Keyword-aware Representative Travel Route Recommendation
 
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Efficient Keyword-aware Representative Travel Route Recommendation To get this project in ONLINE or through TRAINING Sessions, Contact: JP INFOTECH, Old No.31, New No.86, 1st Floor, 1st Avenue, Ashok Pillar, Chennai -83.Landmark: Next to Kotak Mahendra Bank. Pondicherry Office: JP INFOTECH, #37, Kamaraj Salai,Thattanchavady, Puducherry -9.Landmark: Next to VVP Nagar Arch. Mobile: (0) 9952649690, Email: [email protected], web: http://www.jpinfotech.org With the popularity of social media (e.g., Facebook and Flicker), users can easily share their check-in records and photos during their trips. In view of the huge number of user historical mobility records in social media, we aim to discover travel experiences to facilitate trip planning. When planning a trip, users always have specific preferences regarding their trips. Instead of restricting users to limited query options such as locations, activities or time periods, we consider arbitrary text descriptions as keywords about personalized requirements. Moreover, a diverse and representative set of recommended travel routes is needed. Prior works have elaborated on mining and ranking existing routes from check-in data. To meet the need for automatic trip organization, we claim that more features of Places of Interest (POIs) should be extracted. Therefore, in this paper, we propose an efficient Keyword-aware Representative Travel Route framework that uses knowledge extraction from users’ historical mobility records and social interactions. Explicitly, we have designed a keyword extraction module to classify the POI-related tags, for effective matching with query keywords. We have further designed a route reconstruction algorithm to construct route candidates that fulfill the requirements. To provide befitting query results, we explore Representative Skyline concepts, that is, the Skyline routes which best describe the trade-offs among different POI features. To evaluate the effectiveness and efficiency of the proposed algorithms, we have conducted extensive experiments on real location-based social network datasets, and the experiment results show that our methods do indeed demonstrate good performance compared to state-of-the-art works.
Views: 1164 jpinfotechprojects
Post Human, Affect, Proliferation: Hypnotist Presentation | The New School
 
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Early sociologists at the turn of the 20th century, such as Gabriel Tarde and Emile Durkheim, considered the ways that the all-absorbing mentality of crowds stood to overpower rational thought and action in individuals. The two saw proliferation, or the rapid increase in the number, amount, or extent of something, as a uniquely modern experience spurred on by mass media. The speakers on this panel discuss contemporary forms of proliferation facilitated by digital spheres, the affective responses they elicit, and how they might inform political engagement. An accelerated influx of information, for instance, can obscure distinctions between inclusion and exclusion and reproduce the kind of anti-rational engagement Tarde and Durkheim studied. The New School | http://newschool.edu In a series of short panel presentations Deva Woodly, Dominic Pettman, and Mariana Silva unpack the many ways that art and eros stir our political passions and connect us to one another as well as larger networks of life-making that exceed the confines of the human species. In the panel discussion, moderated by Hugh Raffles, we talk about how this extra-human network creates communities and forms of being together in the world that both underpin and supersede entrenched conceptions of the common. Hypnotist Melissa Tiers led the afternoon session with a discussion on how hypnotic strategies are incorporated into media campaigns today. The proliferation of datamining and predictive personality profiling has made it possible for corporations, political campaigns and other entities to tap into and manipulate our unconscious bias using the tools of hypnosis. After talking through some of these basic tenets as they apply to our contemporary moment Tiers invited everyone to follow her in a group trance. Participants: - Dominic Pettman , Professor of Culture and Media at Eugene Lang College and Chair of the Liberal Studies Program at the New School for Social Research - Hugh Raffles, Professor of Anthropology and Director, Graduate Institute for Design, Ethnography, and Social Thought - Mariana Silva, artist - Melissa Tiers, Founder, Center for Integrative Hypnosis; faculty member, The New York Open Center and Tri-State College of Acupuncture - Deva Woodly, Assistant Professor of Politics The New School for Social Research Mobility in Post Democracy Post Democracy has recently arisen as a complex and contradictory term: for some it promises a new participatory platform for the mobilizing forces of social media, considered catalysts for political imagination. Others equate Post Democracy with democracy's demise due to the penetration of global capitalism into every regime type coupled with the increasing intervention of international actors in domestic politics. Decried as "democratic melancholy," such skepticism is considered ill placed by yet others for whom "democracy" was never a political system to aspire to. Under the heading Mobility in Post Democracy, the Vera List Center (http://veralistcenter.org) is presenting a series of interdisciplinary panels, seminars, and lectures that examine Post Democracy as a condition informed by mobility – across institutions, states, and ideologies. The series brings together an international group of scholars, activists, students, and artists to probe the concept of Democracy more generally at the time of the contested U.S. presidential elections, and the concurrent emergence and demise of democratic regimes throughout the world. Artist-driven, the events ask questions such as: How can new social movements counter networks of power? What creative organizing tactics are being developed to reinvigorate a democratic ethos? What forms of political institutions and alliances are flexible and resilient? Post Human, Affect, Proliferation, as part of Mobility in Post Democracy, is a Vera List Center public seminar series and supported by the Zolberg Institute on Migration and Mobility (http://blogs.newschool.edu/zolberg-center). Location: Starr Foundation Hall, University Center 63 Fifth Avenue, New York, NY 10003 Monday, February 13, 2017 at 4:30 pm to 8:30 pm
Views: 716 The New School
RFM analysis for customer segmentation and loyalty marketing
 
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RFM analysis is a customer segmentation model for improved customer loyalty and loyalty marketing. Simple and easy to use, RFM analysis is becoming a popular customer segmentation tool for retailers.
Use forward and backward pass to determine project duration and critical path
 
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Check out http://www.engineer4free.com for more free engineering tutorials and math lessons! Project Management Tutorial: Use forward and backward pass to determine project duration and critical path. Please support my work: PATREON | https://www.patreon.com/Engineer4Free Every dollar is seriously appreciated and enables me to continue making more tutorials
Views: 878395 Engineer4Free
Brain tumor segmentation based on a hybrid clustering technique | Final Year Projects 2016
 
09:42
Including Packages ======================= * Base Paper * Complete Source Code * Complete Documentation * Complete Presentation Slides * Flow Diagram * Database File * Screenshots * Execution Procedure * Readme File * Addons * Video Tutorials * Supporting Softwares Specialization ======================= * 24/7 Support * Ticketing System * Voice Conference * Video On Demand * * Remote Connectivity * * Code Customization ** * Document Customization ** * Live Chat Support * Toll Free Support * Call Us:+91 967-774-8277, +91 967-775-1577, +91 958-553-3547 Shop Now @ http://clickmyproject.com Get Discount @ https://goo.gl/lGybbe Chat Now @ http://goo.gl/snglrO Visit Our Channel: http://www.youtube.com/clickmyproject Mail Us: [email protected]
Views: 133 Clickmyproject
Data Science for Project Management
 
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Nic Ryan from DataFriends interviews Martin Paver from Projecting Success about using data science in project management. If you would like to know more about Projecting Success you can visit them at: https://projectingsuccess.co.uk/
Views: 55 DataFriends
Themes and Factors of Information Technology
 
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Science, Technology and Society, MOOC, NPTEL, IITG