#datamining #datawarehouse #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 257541 Last moment tuitions
Download: https://www.infodiagram.com/diagrams/data_science_analytics_icons_ppt_flat.html?cp=camp5 What's Data Science? How it related to Big Data? And Data Mining? Example of simple visual explanation of areas that compose Data Science - A. data sources including Big Data, B. algorithm for processing data e.g. as statistics and machine learning algorithms C. business use. Illustration of data analysis process. See inspiration how you can present these popular data related concepts visually. Using simple charts and symbols. Adapt the presentation to your context. And let me know in comments how you did it :). I'd love to hear your opinion. All this is Do It Yourself graphics using Powerpoint. Read visualization tips on IT technology slide design on my https://blog.infodiagram.com Comments are welcome!
Views: 2588 Creative Presentation Ideas by infoDiagram
Take the Full Course of Artificial Intelligence What we Provide 1) 28 Videos (Index is given down) 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in Artificial Intelligence Sample Notes : https://goo.gl/aZtqjh To buy the course click https://goo.gl/H5QdDU if you have any query related to buying the course feel free to email us : [email protected] Other free Courses Available : Python : https://goo.gl/2gftZ3 SQL : https://goo.gl/VXR5GX Arduino : https://goo.gl/fG5eqk Raspberry pie : https://goo.gl/1XMPxt Artificial Intelligence Index 1)Agent and Peas Description 2)Types of agent 3)Learning Agent 4)Breadth first search 5)Depth first search 6)Iterative depth first search 7)Hill climbing 8)Min max 9)Alpha beta pruning 10)A* sums 11)Genetic Algorithm 12)Genetic Algorithm MAXONE Example 13)Propsotional Logic 14)PL to CNF basics 15) First order logic solved Example 16)Resolution tree sum part 1 17)Resolution tree Sum part 2 18)Decision tree( ID3) 19)Expert system 20) WUMPUS World 21)Natural Language Processing 22) Bayesian belief Network toothache and Cavity sum 23) Supervised and Unsupervised Learning 24) Hill Climbing Algorithm 26) Heuristic Function (Block world + 8 puzzle ) 27) Partial Order Planing 28) GBFS Solved Example
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#datawarehouse #datamining #lastmomenttuitions Take the Full Course of Datawarehouse What we Provide 1)22 Videos (Index is given down) + Update will be Coming Before final exams 2)Hand made Notes with problems for your to practice 3)Strategy to Score Good Marks in DWM To buy the course click here: https://lastmomenttuitions.com/course/data-warehouse/ Buy the Notes https://lastmomenttuitions.com/course/data-warehouse-and-data-mining-notes/ if you have any query email us at [email protected] Index Introduction to Datawarehouse Meta data in 5 mins Datamart in datawarehouse Architecture of datawarehouse how to draw star schema slowflake schema and fact constelation what is Olap operation OLAP vs OLTP decision tree with solved example K mean clustering algorithm Introduction to data mining and architecture Naive bayes classifier Apriori Algorithm Agglomerative clustering algorithmn KDD in data mining ETL process FP TREE Algorithm Decision tree
Views: 326087 Last moment tuitions
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This course aims to introduce advanced database concepts such as data warehousing, data mining techniques, clustering, classifications and its real time applications. SlideTalk video created by SlideTalk at http://slidetalk.net, the online solution to convert powerpoint to video with automatic voice over.
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In this video we describe data mining, in the context of knowledge discovery in databases. More videos on classification algorithms can be found at https://www.youtube.com/playlist?list=PLXMKI02h3_qjYoX-f8uKrcGqYmaqdAtq5 Please subscribe to my channel, and share this video with your peers!
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Learn about CE diagrams & how they can be used to establish the root causes of problems. Click Cc button to see subtitles in English. Also by Software and Testing Training Computer Security terms : https://youtu.be/ASxswzGt41g Software Testing Tutorials : https://www.youtube.com/playlist?list=PLc3SzDYhhiGWuMK03uYO-UENAx0s2woWM Test Automation : https://www.youtube.com/playlist?list=PLc3SzDYhhiGXVcy8EcrTSfwsC-v8EUZvg Database Testing : https://www.youtube.com/playlist?list=PLc3SzDYhhiGVVb76aFOH9AcIMNAW-JuXE Programming Concepts : https://www.youtube.com/playlist?list=PLc3SzDYhhiGVqrvE28rlJR75asbujHoUL Website : http://inderpsingh.blogspot.com/ Twitter : https://twitter.com/inder_p_singh
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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
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Learn How to Create Stunning 3D Cube Diagram in PowerPoint with this step by step tutorial video from Ramgopal. This PowerPoint Cube can be used to present business concepts. You can use them in strategy presentations, information training etc. Make your slides standout with this cube graphic in PowerPoint. This video is created by Ramgopal from Presentation Process. Key Links: ********** 25 Creative Ideas MINI Training http://www.presentation-process.com/25-creative-presentation-ideas-mini-training.html Comprehensive All In One Bundle - PowerPoint Templates: http://www.presentation-process.com/comprehensive-all-in-one-powerpoint-bundle.html Ramgopal's PowerPoint Mastery Training Program: http://www.presentation-process.com/ramgopals-powerpoint-mastery-program.html
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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
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The kind of graph and analysis we can do with specific data is related to the type of data it is. In this video we explain the different levels of data, with examples. Subtitles in English and Spanish.
Views: 923347 Dr Nic's Maths and Stats
This video is about DECISION TREE ANALYSIS which will help you to understand the basic concept of decision tree analysis. In this video i have solved one practical question which will help you to get the process of solving any numerical question and example. After watching you will also get to know that how to construct the decision tree. I hope this will help you. Thanks JOLLY Coaching how to solve decision tree problem, Decision tree analysis, How to solve decision tree analysis, Practical solved questios on decision tree analysis. decision threoy decision tree analysis
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In this video FP growth algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining algorithms in hindi, data mining in hindi, data mining lecture, data mining tools, data mining tutorial, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining fp growth, data mining fp growth algorithm, data mining fp tree example, data mining fp tree example, fp growth tree data mining, fp tree algorithm in data mining, fp tree algorithm in data mining example, fp tree in data mining, data mining, fp growth algorithm, fp growth algorithm example, fp growth algorithm in data mining, fp growth algorithm in data mining example, fp growth algorithm in data mining examples ppt, fp growth algorithm in data mining in hindi, fp growth algorithm in r, fp growth english, fp growth example, fp growth example in data mining, fp growth frequent itemset, fp growth in data mining, fp growth step by step, fp growth tree
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The Free Ultra Analysis Slide Template is a presentation layout to make business managers and professionals’ life easy. There are 23 slides featuring graphs, diagrams, and data-driven charts. This analysis template can help demonstrate sales proposals, market strategies, and several other management presentations. For example, describing the types of product, categories, or activities involved in a project’s process using 6 segments PowerPoint layout. Simply copy the relevant slides, insert text, and customize it according to original PowerPoint theme. Further, this ultra-analysis PowerPoint theme is ideal for data science and technology presentations. The visually appealing graphics and diagrams here can help users to deliver their data science concepts in no time. Like explaining data-mining, machine learning or simulation. The Free Ultra Analysis Slide Template also provides a range of useful infographics for several corporate presentations. These include many infographic icons for finance, information technology, and work performance. A few icons illustrate monetary concepts using $ symbol but, users can replace it with their currency. Not only the icons, but these free slides also assist professionals to decorate their ultra-analysis and dashboard presentations. There are 6 slides with multiple segment layouts to discuss features, steps, or bullet points. Furthermore, 3 data-drive chart slides contain a collection of custom graphs including bars, area, pie, and trend analysis. While the remaining slides include diagrams and timeline templates to visually describe business terms. The PowerPoint template can benefit any large or small business to present their complex data concepts. Such as KPIs dashboard, annual reports, timelines, revenue or growth. This ultra-analysis presentation is a perfect data visualization tool for any organization. Because it can display multiple charts of more than one performance metric in a single slide view. A visually appealing graphics and data charts will assist the audience to grasp difficult concept. For instance, using infographics and shapes relevant to the topic so viewers can create its mental image. FEATURES 100% Editable PowerPoint Templates. Compatible with all major Microsoft PowerPoint versions, Keynote and Google Slides. Modern 16:9 Aspect Ratio. Scalable Vectorial PowerPoint Shapes and PowerPoint Icons. Instant Access and Download. New Templates every week. HakCipta Template: Copyright Ⓒ SlideModel __________________________________________ Download Link: https://dev.phpbrain.tech/ Form Kritik & Saran: http://bit.ly/Kritiksaranphpbrain Like-Comment-Share Group FB: https://www.facebook.com/groups/Pbrain/ Fb.page: https://www.facebook.com/info.pbrain/ Instagram: https://www.instagram.com/phpbrain/ Telegeram Channel: https://t.me/phpbrain Contact Us: https://phpbrain.tech/
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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
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A common task in data science is to analyze data from an external source that may be in a text or comma separated value (CSV) format. By importing the data into Python, data analysis such as statistics, trending, or calculations can be made to synthesize the information into relevant and actionable information. This demonstrates how to import data, perform a basic analysis such as average values, trend the results, save the figure, and export the results to another text file.
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In this video Apriori algorithm is explained in easy way in data mining Thank you for watching share with your friends Follow on : Facebook : https://www.facebook.com/wellacademy/ Instagram : https://instagram.com/well_academy Twitter : https://twitter.com/well_academy data mining in hindi, Finding frequent item sets, data mining, data mining algorithms in hindi, data mining lecture, data mining tools, data mining tutorial,
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https://ecoursereview.com/cloud-computing-pros-and-cons-for-business-it/ 3 Types of Cloud Computing Services: IaaS PaaS SaaS Explained You Might Wonder – What Is Cloud Computer: #Cloudcomputing is a set of forms that contain certain elements that allows for on-demand, network access, scalability, and shared resources. It's a platform for managing, storing, and processing data online through the internet. Some of the cloud computing features include the following: - On-Demand Services – Available when you need it - Network Access – When using the internet as your medium - Shared Resources – All resources are gathered together and used by multiple customers - Scalability - The ability of a computer system to adapt to increasing demands The Three Delivery Models: Cloud computing provides different services based on three delivery configurations. When they are arranged in a pyramid structure, they are in the order of SaaS, PaaS, and IaaS. The Three Services: #SaaS - Software as a Service This service provides on-demand pay per use of the application software for users and is independent of a platform. You do not have to install software on your computer, unlike a license paid program. Cloud runs a single occurrence of the software, making it available for multiple end-users allowing the service to be cheap. All the computing resources that are responsible for delivering SaaS are totally managed by the vendor. The service is accessible through a web browser or lightweight client applications. End customers use SaaS regularly. The most popular SaaS providers offer the following products and services: Google Ecosystem including Gmail, Google Docs, Google Drive, Microsoft Office 365, and SalesForce. #PaaS - Platform as a Service This service is mostly a development environment that is made up of a programming language execution environment, an operating system, web server, and database. It provides an environment where users can build, compile, and run their program without worrying about an hidden infrastructure. You manage the data and application resources. All the other resources are managed by the vendor. This is the realm for developers. PaaS providers offer the following products and services: Amazon Web services, Elastic Beanstalk, Google App Engine, Windows Azure, Heroku, and Force.com #IaaS - Infrastructure as a Service This service provides the architecture and infrastructure. It provides all computing resources but in a virtual environment so multiple users can have access. The resources include data storage, virtualization, servers, and networking. Most vendors are responsible for managing them. If you use this service, you are responsible for handling other resources including applications, data, runtime, and middleware. This is mostly for SysAdmins. IaaS providers offer the following products and services: Amazon EC2, Go Grid, and Rackspace.com. Here is a short list of some companies that use cloud computing: iCloud – Cloud from Apple is for Apple products. You can backup and store everything from multimedia to documents online. The content is then smoothly integrated onto your devices. Amazon's AWS - When you talk about companies using cloud computing, Amazon Web Services leads the pack. It offers IaaS and PaaS to all their customers. Google Cloud – This cloud platform is universal for Google's enormous ecosystem and for other products such as Microsoft Office. It provides storage of data and collaboration along with other services that are included in their cloud computing suite. Microsoft Azure – Offered by Microsoft, it provides SaaS, PaaS, and IaaS for its software and developer tools. If you have used Office 365, then you have used SaaS. IBM Smart Cloud - This offers private, public, and hybrid distribution platforms providing a full range of SaaS, PaaS, and IaaS cloud computing services for businesses. The pay as you go platform generates profits for IBM. New technology is popping up all over the internet and Cloud seems to be on the rise. This is only scratching the surface on what is already available and what will become available throughout 2017. --- 3 Types of Cloud Computing Services - IaaS PaaS SaaS Explained https://www.youtube.com/watch?v=36zducUX16w #CloudComputingServices #CloudComputing --- Follow us on https://www.facebook.com/EcourseReviews https://twitter.com/EcourseReviews https://plus.google.com/+Ecoursereview/posts https://ecoursereview.com/
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( TensorFlow Training - https://www.edureka.co/ai-deep-learning-with-tensorflow ) This Edureka "Convolutional Neural Network Tutorial" video (Blog: https://goo.gl/4zxMfU) will help you in understanding what is Convolutional Neural Network and how it works. It also includes a use-case, in which we will be creating a classifier using TensorFlow. Below are the topics covered in this tutorial: 1. How a Computer Reads an Image? 2. Why can't we use Fully Connected Networks for Image Recognition? 3. What is Convolutional Neural Network? 4. How Convolutional Neural Networks Work? 5. Use-Case (dog and cat classifier) Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Deep Learning With TensorFlow playlist here: https://goo.gl/cck4hE - - - - - - - - - - - - - - How it Works? 1. This is 21 hrs of Online Live Instructor-led course. Weekend class: 7 sessions of 3 hours each. 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 have to undergo a 2-hour LIVE Practical Exam based on which we will provide you a Grade and a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Deep learning with Tensorflow course will help you to learn the basic concepts of TensorFlow, the main functions, operations and the execution pipeline. Starting with a simple “Hello Word” example, throughout the course you will be able to see how TensorFlow can be used in curve fitting, regression, classification and minimization of error functions. This concept is then explored in the Deep Learning world. You will evaluate the common, and not so common, deep neural networks and see how these can be exploited in the real world with complex raw data using TensorFlow. In addition, you will learn how to apply TensorFlow for backpropagation to tune the weights and biases while the Neural Networks are being trained. Finally, the course covers different types of Deep Architectures, such as Convolutional Networks, Recurrent Networks and Autoencoders. Delve into neural networks, implement Deep Learning algorithms, and explore layers of data abstraction with the help of this Deep Learning with TensorFlow course. - - - - - - - - - - - - - - Who should go for this course? The following professionals can go for this course: 1. Developers aspiring to be a 'Data Scientist' 2. Analytics Managers who are leading a team of analysts 3. Business Analysts who want to understand Deep Learning (ML) Techniques 4. Information Architects who want to gain expertise in Predictive Analytics 5. Professionals who want to captivate and analyze Big Data 6. Analysts wanting to understand Data Science methodologies However, Deep learning is not just focused to one particular industry or skill set, it can be used by anyone to enhance their portfolio. - - - - - - - - - - - - - - Why Learn Deep Learning With TensorFlow? TensorFlow is one of the best libraries to implement Deep Learning. TensorFlow is a software library for numerical computation of mathematical expressions, using data flow graphs. Nodes in the graph represent mathematical operations, while the edges represent the multidimensional data arrays (tensors) that flow between them. It was created by Google and tailored for Machine Learning. In fact, it is being widely used to develop solutions with Deep Learning. Machine learning is one of the fastest-growing and most exciting fields out there, and Deep Learning represents its true bleeding edge. Deep learning is primarily a study of multi-layered neural networks, spanning over a vast range of model architectures. Traditional neural networks relied on shallow nets, composed of one input, one hidden layer and one output layer. Deep-learning networks are distinguished from these ordinary neural networks having more hidden layers, or so-called more depth. These kinds of nets are capable of discovering hidden structures within unlabeled and unstructured data (i.e. images, sound, and text), which constitutes the vast majority of data in the world. For more information, please write back to us at [email protected] or call us at IND: 9606058406 / US: 18338555775 (toll-free). Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 97608 edureka!
About this Microsoft Office PowerPoint 365 Training Video: How To Design Isometric Analytics Charts Dashboard Illustration in Microsoft Office PowerPoint PPT. PowerPoint is an enterprise level software and an amazing product of Microsoft Office. It has a great potential and the kind of features it provides are so easy to understand and simple to use that every student, manager, marketing executive or sales guy can easily create brilliant professional presentations. Microsoft Office PowerPoint is often underestimated but it allows us to create presentations, logos, banners, templates, designs, graphics, and most importantly video animations. A PowerPoint Presentation designed appropriately can really convince your target audience. A lot of design thinking needs to be put into a slide to make sure that the message is clearly delivered to the user. I have created all the videos in PowerPoint included in Microsoft Office 365 suite. My idea is to help my audience learn the PowerPoint and get to know how easy it is to create anything in presentation. Please Subscribe to our channel: https://www.youtube.com/c/CreativeVenus/?sub_confirmation=1 You can download this professional PowerPoint template from the following Gdrive location: https://drive.google.com/open?id=1Ena7xkA_n-4DecqTQzR-05ISxYRjlvfE I have created the playlist of all the PowerPoint Training Videos. You can visit the URL: https://www.youtube.com/playlist?list=PLHq0onhvyWme0oqqKUmULNeavFY5q9C8j I hope you like this Microsoft Office 365 PowerPoint Training Video. Please Like, share, comment and subscribe to watch more such videos. Follow Us on Google Plus: https://plus.google.com/u/0/109609798992670836043 Follow Us on Twitter: https://twitter.com/creative_venus Follow Us on Facebook: https://www.facebook.com/creativevenus4u/ #isometric #presentation #analytics
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In this Data Mining Fundamentals tutorial, we discuss the transformation of data in data preprocessing, such as attribute transformation. Attribute transformation is a function that maps the entire set of values of a given attribute to a new set of replacement values such that each old value can be identified with one of the new values. -- Learn more about Data Science Dojo here: https://hubs.ly/H0hCrZ30 Watch the latest video tutorials here: https://hubs.ly/H0hCsm90 See what our past attendees are saying here: https://hubs.ly/H0hCrZb0 -- At Data Science Dojo, we believe data science is for everyone. Our in-person data science training has been attended by more than 4000+ employees from over 830 companies globally, including many leaders in tech like Microsoft, Apple, and Facebook. -- Like Us: https://www.facebook.com/datasciencedojo Follow Us: https://plus.google.com/+Datasciencedojo Connect with Us: https://www.linkedin.com/company/datasciencedojo Also find us on: Google +: https://plus.google.com/+Datasciencedojo Instagram: https://www.instagram.com/data_science_dojo Vimeo: https://vimeo.com/datasciencedojo
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*** IMPROVED VERSION of this video here: https://youtu.be/tDLcBrLzBos I describe the standard normal distribution and its properties with respect to the percentage of observations within each standard deviation. I also make reference to two key statistical demarcation points (i.e., 1.96 and 2.58) and their relationship to the normal distribution. Finally, I mention two tests that can be used to test normal distributions for statistical significance. normal distribution, normal probability distribution, standard normal distribution, normal distribution curve, bell shaped curve
Views: 1131332 how2stats
This brief video explains *the components of the decision tree *how to construct a decision tree *how to solve (fold back) a decision tree. Other videos: Decision Analysis 1: Maximax, Maximin, Minimax Regret https://youtu.be/NQ-mYn9fPag Decision Analysis 1.1 (Costs): Maximax, Maximin, Minimax Regret https://youtu.be/ajkXzvVegBk Decision Analysis 2.1: Equally Likely (Laplace) and Realism (Hurwicz) https://www.youtube.com/watch?v=zlblUq9Dd14 Decision Analysis 2: EMV & EVPI - Expected Value & Perfect Information https://www.youtube.com/watch?v=tbv9E9D2BRQ Decision Analysis 4: EVSI - Expected Value of Sample Information https://www.youtube.com/watch?v=FUY07dvaUuE Decision Analysis 5: Posterior Probability Calculations https://youtu.be/FpKiHpYnY_I
Views: 219853 Joshua Emmanuel
Understand what is Statistical Process Control (SPC) in Hindi. This is part 1 of the video, watch concluding part 2 , to cover rest of the content. SPC क्या है हिंदी में सीखे। ये पहला भाग है , प्रोग्राम को पूरा समझने के लिए इसका दूसरा भाग भी अवस्य देखे। Watch other videos from ‘Quality HUB India’- https://www.youtube.com/channel/UCdDEcmELwWVr_77GpqldKmg/videos • Subscribe to my channel ‘Quality HUB India’ for getting notification. • Like, comment & Share the video with your colleague and friends Link to buy My books 1. Mistake-Proofing Simplified: An Indian Perspective: https://www.amazon.in/gp/product/8174890165/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=8174890165&linkCode=as2&tag=qhi-21 2. Management Thoughts on Quality for Every Manager: https://www.amazon.in/gp/product/B0075MCLTO/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B0075MCLTO&linkCode=as2&tag=qhi-21 Gadgets I use and Link to buy 1. OnePlus 5 - Mobile https://www.amazon.in/gp/product/B01MXZW51M/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B01MXZW51M&linkCode=as2&tag=qhi-21 2. HP 14-AM122TU 14-inch Laptop https://www.amazon.in/gp/product/B06ZYLLT8G/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B06ZYLLT8G&linkCode=as2&tag=qhi-21 3. Canon EOS 700D 18MP Digital SLR Camera https://www.amazon.in/gp/product/B00VT61IKA/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00VT61IKA&linkCode=as2&tag=qhi-21 4. Sonia 9 Feet Light Stand LS-250 https://www.amazon.in/gp/product/B01K7SW2OQ/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B01K7SW2OQ&linkCode=as2&tag=qhi-21 5. Sony MDR-XB450 On-Ear EXTRA BASS Headphones https://www.amazon.in/gp/product/B00NFJGUPW/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00NFJGUPW&linkCode=as2&tag=qhi-21 6. QHM 602 USB MINI SPEAKER https://www.amazon.in/gp/product/B00L393EXC/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00L393EXC&linkCode=as2&tag=qhi-21 7. Photron Tripod Stedy 400 with 4.5 Feet Pan Head https://www.amazon.in/gp/product/B00UBUMCNW/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00UBUMCNW&linkCode=as2&tag=qhi-21 8. Tie Clip Collar mic Lapel https://www.amazon.in/gp/product/B00ITOD6NM/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00ITOD6NM&linkCode=as2&tag=qhi-21 9. Hanumex Generic Green BackDrop Background 8x12 Ft for Studio Backdrop https://www.amazon.in/gp/product/B06W53TMDR/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B06W53TMDR&linkCode=as2&tag=qhi-21 10. J 228 Mini Tripod Mount + Action Camera Holder Clip Desktop Self-Tripod For Camera https://www.amazon.in/gp/product/B072JXX9DB/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B072JXX9DB&linkCode=as2&tag=qhi-21 11. Seagate Backup Plus Slim 1TB Portable External Hard Drive https://www.amazon.in/gp/product/B00GASLJK6/ref=as_li_tl?ie=UTF8&camp=3638&creative=24630&creativeASIN=B00GASLJK6&linkCode=as2&tag=qhi-21 Watch other Videos from ‘Quality HUB India’ 1. Process Capability Study (Cp,Cpk, Pp & Ppk) - https://www.youtube.com/watch?v=5hBRE0uji5w 2. What is Six Sigma ?Learn Six Sigma in 30 minutes- https://www.youtube.com/watch?v=1oiKYydbrSw 3. Failure Mode and Effects Analysis (FMEA) - https://www.youtube.com/watch?v=UxSBUHgb1V0&t=25s 4. Statistical Process Control (SPC) in Hindi – https://www.youtube.com/watch?v=WiVjjoeIrmc&t=115s 5. Measurement System Analysis (MSA) (Part 1) - https://www.youtube.com/watch?v=GGwaZeMmZS8&t=25s 6. Advanced Product Quality Planning(APQP) - https://www.youtube.com/watch?v=FaawYoPsUYE&t=35s 7. ‘Quality Circles' - https://www.youtube.com/watch?v=kRp9OIANgG8&t=25s 8. What is 'Cost of Quality' and 'Cost of Poor Quality' - https://www.youtube.com/watch?v=IsCRylbHni0&t=25s 9. How to perfectly define a problem ? 5W and 1H approach - https://www.youtube.com/watch?v=JXecodDxBfs&t=55s 10. What is 'Lean Six Sigma' ? Learn the methodology with benefits. - https://www.youtube.com/watch?v=86XJqf1IhQM&t=41s 11. What is KAIZEN ? 7 deadly Waste (MUDA) and benefit of KAIZEN - https://www.youtube.com/watch?v=TEcE-cKk1qI&t=115s 12. What is '5S' Methodology? (Hindi)- https://www.youtube.com/watch?v=dW8faNOX91M&t=25s 13. 7 Quality Control Tools - (Part 1) Hindi - https://www.youtube.com/watch?v=bQ9t3zoM0NQ&t=88s 14. "KAIZEN" in HINDI- https://www.youtube.com/watch?v=xJpbHTc3wmo&t=25s 15. 'PDCA' or 'Deming Cycle'. Plan-DO-Check-Act cycle - https://www.youtube.com/watch?v=Kf-ax6qIPVc 16. Overall Equipment Effectiveness (OEE) - https://www.youtube.com/watch?v=5OM5-3WVtd0&feature=youtu.be 17. Why-Why Analysis? - Root Cause Analysis Tool - https://www.youtube.com/watch?v=Uxn6N6OJvwA
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In this video, i have discussed the comparison of OLAP and OLTP. OLAP vs OLTP in datamining. Online Analytical Processing vs Online transaction processing, OLAP means Online Analytical Processing and OLTP means online transaction processing.
Views: 500 DataMining Tutorials
Frontline offers Final Year IEEE Projects. Get the abstract, project source code, documentation ,ppt and UML Diagrams. Online Demo and Training Sessions available. Frontline India visit us at frontl.in Call +91 7200 247 247 or mail us at [email protected] Online Training Sessions available
Views: 89 IEEE Projects Karur Frontline
Title: Privacy Preserving Event Sequence Data Visualization using a Sankey Diagram-like Representation Authors: Jia-Kai Chou, Yang Wang and Kwan-Liu Ma Project Page: http://vidi.cs.ucdavis.edu/People/ChouJia-Kai Abstract: Given the growing rates and richness of data being collected nowadays, it is non-trivial for data owners to determine a single best publishing granularity that presents the most value of the data while preserving its privacy. There have been extensive studies on privacy preserving algorithms in the data mining community, but relatively few have been done to provide a supervised control over the anonymization process. We present the design and evaluation of a visual interface that assists users to employ commonly used data anonymization techniques for making privacy preserving visualizations of the data. We focus on event sequence data due to its vulnerability to privacy concerns. Our visual interface is designed for data owners to examine potential privacy issues, obfuscate information as suggested by the algorithm, and fine-tune the results per their requests. Case studies using multiple datasets under different scenarios demonstrate the effectiveness of our design. These studies show that using visualization as an interface can help identify potential privacy issues, reveal underlying anonymization processes, and allow users to balance between data utility and privacy.
Views: 131 VIDI Labs
- Like our Facebook: https://www.facebook.com/oilvips - Geologists and geophysicists have agreed on the existence of a "prospect", a potential field. In order to find out if hydrocarbons are indeed trapped in the reservoir rock, we must drill to hit them. Bearing in mind the knowledge acquired about the substratum and the topography of the land, the best position for the installation of the drilling equipment is determined. Generally it is vertically above the point of maximum thickness of the geological layer suspected of containing hydrocarbons. The drillers then make a hole in conditions that are sometimes difficult. Of small diameter (from 20 to 50 cm) this hole will generally go down to a depth of between 2000 and 4000 meters. Exceptionally, certain wells exceed 6000 m. One of them has even exceeded 11 000 m! Certain fields can be buried at a depth equivalent to the height of 12 Eiffel Towers ... The derrick is the visible part of the drilling rig. It is a metal tower several tens of meters high. It is used to vertically introduce the drill strings down the hole. These drill strings are made up of metallic tubes screwed end to end. They transmit a rotating movement (rotary drilling) to the drilling tool (the drill bit) and help circulate a liquid called "mud" (because of its appearance) down to the bottom of the well. The drilling rig works like an enormous electric hand-drill of which the derrick would be the body, the drill strings the drive and the drilling tool the drill bit. The most usual tool is an assembly of three cones -- from which comes the name "tri cone" -- in very hard steel, which crushes the rock. Sometimes when the rock being drilled is very resistant, a single- block tool encrusted with diamonds is used. This wears down the rock by abrasion. Through the drill pipes, at the extremity of which the drill bit rotates, a special mud is injected, which the mud engineer prepares and controls. This mud cools the drill bit and consolidates the sides of the borehole. Moreover it avoids a gushing of oil, gas or water from the layer being drilled, by equilibrating the pressure. Finally, the mud cleans the bottom of the well. As it makes its way along the pipes, it carries the rock fragments (cuttings) to the surface. The geologist examines these cuttings to discover the characteristics of the rocks being drilled and to detect eventual shows of hydrocarbons. The cuttings, fragments of rock crushed by the drill bit, are brought back up to the surface by the mud. To obtain information on the characteristics of the rock being drilled, a core sample is taken. The drill bit is replaced by a hollow tool called a core sampler, which extracts a cylindrical sample of several meters of rock. This core supplies data on the nature of the rock, the inclination of the layers, the structure, permeability, porosity, fluid content and the fossils present. After having drilled a few hundred of meters, the explorers and drillers undertake measurements down the hole called loggings, by lowering electronic tools into the well to measure the physical parameters of the rock being drilled. These measures validate, or invalidate, or make more precise the hypotheses put forward earlier about the rocks and the fluids that they contain. The log engineer is responsible for the analysis of the results of the various loggings. The sides of the well are then reinforced by steel tubes screwed end to end. These tubes (called casings) are cemented into the ground. They isolate the various layers encountered. When hydrocarbons are found, and if the pressure is sufficient to allow them come to the surface naturally, the drillers do a flow check. The oil is allowed to come to the surface during several hours or several days through a calibrated hole. The quantity recovered is measured, as are the changes in pressure at the bottom of the well. In this way, a little more knowledge is gained about the probable productivity of the field. If the field seems promising, the exploration team ends the first discovery well and goes on to drill a second, even several others, several hundred or thousand meters further away. In this way, the exploration team is able to refine its knowledge about the characteristics of the field. The decision to stop drilling is made only when all these appraisal wells have provided sufficient information either to give up the exploration or to envisage future production. --------------------------------------------------------------------------------------- Like our Facebook: https://www.facebook.com/oilvips Twitter: https://twitter.com/oilvips And Don't forget to subscribe to our channel
Views: 794371 Oil & Gas Videos