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Data Mining Paper Review
 
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Recorded with http://screencast-o-matic.com
Views: 104 venu gopal valeti
Student Data Mining with Michelle Malkin | CRTV
 
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🎓 FreedomProject Academy is honored to be featured in the latest episode of 'Michelle Malkin Investigates' on Conservative Review TV, which focuses on student data mining and how families can protect themselves. (This is an excerpt taken from the full episode entitled, "Student Data Mining: Selling Our Kids' Privacy for Profit" @ http://bit.ly/2ovBBmc. All rights reserved to CRTV and Michelle Malkin.) 🌏 WEBSITE: https://www.fpeusa.org/ ✅ SUBSCRIBE to our YouTube Channel: http://bit.ly/2oexOOj 👍 LIKE our Facebook Page: http://bit.ly/2nOxdze 👉 FOLLOW us on Twitter: http://bit.ly/2oC93Ij 🇺🇸 SUBSCRIBE to our Weekly Email: http://eepurl.com/cLro6n
Views: 2215 FreedomProject Media
How To Analyze Your Customer Reviews with Text Analysis - Data Crunch
 
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Add in-demand data science skills to your resume: https://www.thelead.io/data-science-360/ If you run a business or organizations, it's important to know what your customers are saying about you - whether if its a form of a blog, social media post, review or comment. This is where text mining and text analysis comes into play. Data scientists build text mining algorithms to mine texts from customers and map out a word cloud to understand their customers. Dr. Lau shows us how to do text analysis in this Data Crunch episode. Text analysis data files for this episode: https://goo.gl/Y5YwRH Google Alerts: https://www.google.com.my/alerts Brandwatch: https://www.brandwatch.com/ =============== Where to follow and learn more from LEAD: Website: https://www.thelead.io Facebook: https://www.facebook.com/thelead.io/ Instagram: https://www.instagram.com/theleadio/ ================ LEAD is an institute in Malaysia, where we provide courses in Data Science, Full Stack Web Development, Digital Marketing & Business, for individuals and corporates — so they can find better careers or to build successful businesses. We teach career-ready skills that our students can use right away in their jobs or find a job. Rather than taking years to learn and master a subject, we have designed our courses to shortcut our students to be competent in the workspace. So we gathered a group of experts in their fields, to teach and mentor our students. Collectively, our 15+ years in technology mentoring means you’ll get real insights & strategies from the best developers, digital marketers, and data scientists.
Views: 96 LEAD
Trade Miner Review By Mike At Orderflows Market Analysis Data Mining Software
 
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http://www.orderflows.com/2017/02/12/find-high-percentage-trades-quickly/ I just wanted to tell you about this market software research tool you might be interested in. Everyone talks about finding high percentage trades, the trades with the 4-1 reward to risk ratio and so on then just leave you to it. What this software does is it finds you high percentage trades and show you the success rate in the past, the average profit per trade and much more. At a click of a button you will know what futures contract, stock or forex pair to buy (or sell), when to buy (or sell), the trade's winning percentage and average profit. Recently I did a webinar about it explaining how a trader can use it to research and find very profitable trades. You can watch the replay here and learn more about the software. One of the best part is the price. All too often software comes on the market for traders and it is priced at $500, $1000 and more, but this software you can get for as low as $97, but honestly there is a better deal which I tell you about to save you a little more money! It is very rare that I promote another trading software product but I have to be honest and tell you that this software can really open your eyes to some amazing trading opportunities. CFTC Rules 4.41: Hypothetical or Simulated performance results have certain limitations, unlike an actual performance record, simulated results do not represent actual trading. Also, since the trades have not been executed, the results may have under-or-over compensated for the impact, if any, of certain market factors, such as lack of liquidity. Simulated trading programs in general are also subject to the fact that they are designed with the benefit of hindsight. No representation is being made that any account will or is likely to achieve profit or losses similar to those shown. Disclaimer: This presentation is for educational and informational purposes only and should not be considered a solicitation to buy or sell a futures contract or make any other type of investment decision. Futures trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results.  Risk Disclosure: Futures and forex trading contains substantial risk and is not for every investor. An investor could potentially lose all or more than the initial investment. Risk capital is money that can be lost without jeopardizing ones’ financial security or life style. Only risk capital should be used for trading and only those with sufficient risk capital should consider trading. Past performance is not necessarily indicative of future results. Hypothetical Performance Disclosure: Hypothetical performance results have many inherent limitations, some of which are described below. no representation is being made that any account will or is likely to achieve profits or losses similar to those shown; in fact, there are frequently sharp differences between hypothetical performance results and the actual results subsequently achieved by any particular trading program. One of the limitations of hypothetical performance results is that they are generally prepared with the benefit of hindsight. In addition, hypothetical trading does not involve financial risk, and no hypothetical trading record can completely account for the impact of financial risk of actual trading. for example, the ability to withstand losses or to adhere to a particular trading program in spite of trading losses are material points which can also adversely affect actual trading results. There are numerous other factors related to the markets in general or to the implementation of any specific trading program which cannot be fully accounted for in the preparation of hypothetical performance results and all which can adversely affect trading results.
Views: 2310 Order Flows
Data Mining using R | Data Mining Tutorial for Beginners | R Tutorial for Beginners | Edureka
 
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( R Training : https://www.edureka.co/r-for-analytics ) This Edureka R tutorial on "Data Mining using R" will help you understand the core concepts of Data Mining comprehensively. This tutorial will also comprise of a case study using R, where you'll apply data mining operations on a real life data-set and extract information from it. Following are the topics which will be covered in the session: 1. Why Data Mining? 2. What is Data Mining 3. Knowledge Discovery in Database 4. Data Mining Tasks 5. Programming Languages for Data Mining 6. Case study using R Subscribe to our channel to get video updates. Hit the subscribe button above. Check our complete Data Science playlist here: https://goo.gl/60NJJS #LogisticRegression #Datasciencetutorial #Datasciencecourse #datascience How it Works? 1. There will be 30 hours of instructor-led interactive online classes, 40 hours of assignments and 20 hours of project 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. You will get Lifetime Access to the recordings in the LMS. 4. At the end of the training you will have to complete the project based on which we will provide you a Verifiable Certificate! - - - - - - - - - - - - - - About the Course Edureka's Data Science course will cover the whole data life cycle ranging from Data Acquisition and Data Storage using R-Hadoop concepts, Applying modelling through R programming using Machine learning algorithms and illustrate impeccable Data Visualization by leveraging on 'R' capabilities. - - - - - - - - - - - - - - Why Learn Data Science? Data Science training certifies you with ‘in demand’ Big Data Technologies to help you grab the top paying Data Science job title with Big Data skills and expertise in R programming, Machine Learning and Hadoop framework. After the completion of the Data Science course, you should be able to: 1. Gain insight into the 'Roles' played by a Data Scientist 2. Analyse Big Data using R, Hadoop and Machine Learning 3. Understand the Data Analysis Life Cycle 4. Work with different data formats like XML, CSV and SAS, SPSS, etc. 5. Learn tools and techniques for data transformation 6. Understand Data Mining techniques and their implementation 7. Analyse data using machine learning algorithms in R 8. Work with Hadoop Mappers and Reducers to analyze data 9. Implement various Machine Learning Algorithms in Apache Mahout 10. Gain insight into data visualization and optimization techniques 11. Explore the parallel processing feature in R - - - - - - - - - - - - - - Who should go for this course? The course is designed for all those who want to learn machine learning techniques with implementation in R language, and wish to apply these techniques on Big Data. 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. SAS/SPSS Professionals looking to gain understanding in Big Data Analytics 4. Business Analysts who want to understand Machine Learning (ML) Techniques 5. Information Architects who want to gain expertise in Predictive Analytics 6. 'R' professionals who want to captivate and analyze Big Data 7. Hadoop Professionals who want to learn R and ML techniques 8. Analysts wanting to understand Data Science methodologies Please write back to us at [email protected] or call us at +918880862004 or 18002759730 for more information. Website: https://www.edureka.co/data-science Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka Customer Reviews: Gnana Sekhar Vangara, Technology Lead at WellsFargo.com, says, "Edureka Data science course provided me a very good mixture of theoretical and practical training. The training course helped me in all areas that I was previously unclear about, especially concepts like Machine learning and Mahout. The training was very informative and practical. LMS pre recorded sessions and assignmemts were very good as there is a lot of information in them that will help me in my job. The trainer was able to explain difficult to understand subjects in simple terms. Edureka is my teaching GURU now...Thanks EDUREKA and all the best. " Facebook: https://www.facebook.com/edurekaIN/ Twitter: https://twitter.com/edurekain LinkedIn: https://www.linkedin.com/company/edureka
Views: 54072 edureka!
A Literature Review on Data Mining Techniques applied in Health Care Decision Making
 
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Literature Review on Data Mining Techniques applied in Health Care Decision Making
Views: 1127 mahesh l
A Systematic Review on Educational Data Mining | Final year Projects 2016 - 2017
 
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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 @ http://clickmyproject.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: 405 Clickmyproject
Data Mining with SAP Predictive Analysis - Data Geek Challenge 2013
 
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This video illustrates an example of how to build an end-to-end machine learned model using SAP Predictive Analysis. Furthermore the video walks you through the aspect of training your model with respect to BIAS in your data. The effect of incorrect sampling data from a BIAS sorted dataset is demonstrated. The dataset is based on the well known IRIS that is provided with R. Let me know if you would like a copy of the dataset so that you can try this yourself. Finally the machine trained model is then applied to new data in order to perform predictions.
Views: 2307 Kurt Holst
Bottos Project Review - AI Data Mining on Blockchain - 2018 GEM!
 
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Bottos Project Review - AI Data Mining on Blockchain - 2018 GEM! Please like & subscribe to my Social Networks :) YouTube Channel: Click subscribe above! Twitter: https://twitter.com/NYCryptoTalk Steem: https://steemit.com/@nycryptotalk 💲 Buy Bitcoin (Free $10 with $100 or more initial purchase) 💲 https://www.coinbase.com/join/542d451... 💱 My favorite Exchanges - Kucoin & Binance 💱 https://www.kucoin.com/#/?r=1Kuf4 https://www.binance.com/?ref=11679736 https://www.qryptos.com 🏦 My favorite Crypto Wallet - The secure Ledger Nano S 🏦 https://goo.gl/dZL5Ui 💖 Donations (Message me for Shoutouts!) 💖 💎Bitcoin : 33LXztUAsDiEau4Dhq2EHvqA1aZDCrgTcR 💎NEO: ANwjKCEN2f2pDqM6sg85TFQkuWVhnLLZVA 💎ETH: 0xD75fb3436b386Da14fC807d4623d6231AA3D0179 💎LTC : MPGvsqczrGf7v7e1a9ftXhEokW337spMEb ☁️ Crypto Taxes ☁️ Get Started here: https://bitcoin.tax/r/qGKCxwoH Disclaimer: I AM NOT A FINANCIAL ADVISOR. MY VIEWS ARE GENERAL IN NATURE AND SHOULD NOT BE TAKEN AS FINANCIAL ADVICE. ALWAYS DO YOUR OWN RESEARCH BEFORE INVESTING ANY MONEY.
Views: 730 NYCryptoTalk
Data Mining Capstone Detailed Review
 
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A detailed review of my Capstone Project for the Coursera Data Mining Specialization offered by the University of Illinois at Urbana-Champaign, by Phil Ferriere (2016) [42 slides, 25mn] Contact: https://www.linkedin.com/in/philferriere For a shorter overview [16 slides, 12mn], please check out https://youtu.be/f4PEV6KpcXc
Views: 167 Phil Ferriere
Data mining final paper review
 
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This is the final presentation for the data mining final paper review please watch it Thank you
Views: 184 Akhil Kumar Mandoji
Topic Modeling with Hotel Review Data
 
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Topic Modeling with Hotel Review Data
Views: 1065 kannan kalidasan
Review on Clustering Techniques in Data Mining 2016
 
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Data Preprocessing in Data Mining Part one https://www.youtube.com/watch?v=cz2q_... Data Preprocessing in Data Mining Part two https://www.youtube.com/watch?v=70R_u... https://www.facebook.com/Pshtiwan.M.Aziz
Views: 259 Pshtiwan Aziz
Analysis of IMDb Reviews Using SAS Data Mining and Sentiment Analysis
 
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Ameya Jadhavar and Prithvi Raj Sirolikar, students from Oklahoma State University, talk about their SAS Global Forum paper presentation, “Analysis of IMDb Reviews for Movies and Television Series Using SAS® Enterprise Miner™ and SAS® Sentiment Analysis Studio” SUBSCRIBE TO THE SAS SOFTWARE YOUTUBE CHANNEL http://www.youtube.com/subscription_center?add_user=sassoftware ABOUT SAS SAS is the leader in analytics. Through innovative analytics, business intelligence and data management software and services, SAS helps customers at more than 75,000 sites make better decisions faster. Since 1976, SAS has been giving customers around the world THE POWER TO KNOW®. VISIT SAS http://www.sas.com CONNECT WITH SAS SAS ► http://www.sas.com SAS Customer Support ► http://support.sas.com SAS Communities ► http://communities.sas.com Facebook ► https://www.facebook.com/SASsoftware Twitter ► https://www.twitter.com/SASsoftware LinkedIn ► http://www.linkedin.com/company/sas Google+ ► https://plus.google.com/+sassoftware Blogs ► http://blogs.sas.com RSS ►http://www.sas.com/rss
Views: 1928 SAS Software
unstructured datamining of hotel reviews
 
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this a project on dataming for opinion mining analysis of the hotel reviews and generate the new rating model fo hotels.
Views: 343 subash khati
LeadLocate Reviews: Car Dealer Sales Leads + Automotive Equity Data Mining Tools
 
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LeadLocate Reviews LeadLocate.com Ratings & Reviews Client Video Testimonials Our powerful process gives you access to all the prospects in your area looking to trade-up or upgrade their current vehicle. Pricing is available at http://bit.ly/2JcxdE8 and to sign up visit http://bit.ly/2Ic6Ca2. ARE YOU A CURRENT LEADLOCATE CLIENT? Send in your video testimonial to cs[at]leadlocate.com and receive a $100 billing credit. See full terms on our website https://leadlocate.com. If you are looking for dealership data mining tool that will bring people into your showroom and sell more cars, you have found it! LeadLocate is equity mining software that is designed to find local customers who are on the market looking to sell or trade their vehicle for a new one. We target people who are actually looking to sell in your local community and not your old customers from the DMS.
Views: 2748 LeadLocate
Data Mining with Scala at Identified
 
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Scala is an excellent tool for big data cleaning, gleaning, and modeling. Jan Prach visited SF Scala and discussed how his company, Identified, uses Scala to gain insights into people ranking and search. He overviews the overall data flow, focuses on several points of interest, and explains how Scala makes it all happen. Jan Prach is a Scala Developer, at Identified, using Machine Learning and Data Mining. **Check out more Scala resources: http://marakana.com/s/tags/scala
Views: 3531 InfoQ
Healthcare Data Mining with Matrix Models (Part 1)
 
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Authors: Joel Dudley, Icahn School of Medicine at Mount Sinai Ping Zhang, IBM Thomas J. Watson Research Center Fei Wang, Department of Healthcare Policy and Research, Cornell University Abstract: In the last decade, advances in high-throughput technologies, growth of clinical data warehouses, and rapid accumulation of biomedical knowledge provided unprecedented opportunities and challenges to researchers in biomedical informatics. One distinct solution, to efficiently conduct big data analytics for biomedical problems, is the application of matrix computation and factorization methods such as non-negative matrix factorization, joint matrix factorization, tensor factorization. Compared to probabilistic and information theoretic approaches, matrix-based methods are fast, easy to understand and implement. In this tutorial, we provide a review of recent advances in algorithms and methods using matrix and their potential applications in biomedical informatics. We survey various related articles from data mining venues as well as from biomedical informatics venues to share with the audience key problems and trends in matrix computation research, with different novel applications such as drug repositioning, personalized medicine, and electronic phenotyping. More on http://www.kdd.org/kdd2016/ KDD2016 Conference is published on http://videolectures.net/
Views: 661 KDD2016 video
Introduction to Data Science with R - Data Analysis Part 1
 
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Part 1 in a in-depth hands-on tutorial introducing the viewer to Data Science with R programming. The video provides end-to-end data science training, including data exploration, data wrangling, data analysis, data visualization, feature engineering, and machine learning. All source code from videos are available from GitHub. NOTE - The data for the competition has changed since this video series was started. You can find the applicable .CSVs in the GitHub repo. Blog: http://daveondata.com GitHub: https://github.com/EasyD/IntroToDataScience I do Data Science training as a Bootcamp: https://goo.gl/OhIHSc
Views: 880522 David Langer
Application of Big Data In Education Data Mining And Lerning Analytics A Literature Review
 
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Application of Big Data In Education Data Mining And Lerning Analytics A Literature Review
A Review on Mining Students’ Data for Performance Prediction  | Final Year Projects 2016 - 2017
 
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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 @ http://clickmyproject.com Get Discount @ https://goo.gl/dhBA4M Chat Now @ http://goo.gl/snglrO Visit Our Channel: https://www.youtube.com/user/clickmyproject Mail Us: [email protected]
Views: 560 Clickmyproject
A Review of Educational Data Mining Tools & Techniques IJETL  3, 1 ,17 23
 
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A Review of Educational Data Mining Tools & Techniques
Data Mining: How You're Revealing More Than You Think
 
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Data mining recently made big news with the Cambridge Analytica scandal, but it is not just for ads and politics. It can help doctors spot fatal infections and it can even predict massacres in the Congo. Hosted by: Stefan Chin Head to https://scishowfinds.com/ for hand selected artifacts of the universe! ---------- Support SciShow by becoming a patron on Patreon: https://www.patreon.com/scishow ---------- Dooblydoo thanks go to the following Patreon supporters: Lazarus G, Sam Lutfi, Nicholas Smith, D.A. Noe, سلطان الخليفي, Piya Shedden, KatieMarie Magnone, Scott Satovsky Jr, Charles Southerland, Patrick D. Ashmore, Tim Curwick, charles george, Kevin Bealer, Chris Peters ---------- Looking for SciShow elsewhere on the internet? Facebook: http://www.facebook.com/scishow Twitter: http://www.twitter.com/scishow Tumblr: http://scishow.tumblr.com Instagram: http://instagram.com/thescishow ---------- Sources: https://www.aaai.org/ojs/index.php/aimagazine/article/viewArticle/1230 https://www.theregister.co.uk/2006/08/15/beer_diapers/ https://www.theatlantic.com/technology/archive/2012/04/everything-you-wanted-to-know-about-data-mining-but-were-afraid-to-ask/255388/ https://www.economist.com/node/15557465 https://blogs.scientificamerican.com/guest-blog/9-bizarre-and-surprising-insights-from-data-science/ https://qz.com/584287/data-scientists-keep-forgetting-the-one-rule-every-researcher-should-know-by-heart/ https://www.amazon.com/Predictive-Analytics-Power-Predict-Click/dp/1118356853 http://dml.cs.byu.edu/~cgc/docs/mldm_tools/Reading/DMSuccessStories.html http://content.time.com/time/magazine/article/0,9171,2058205,00.html https://www.nytimes.com/2012/02/19/magazine/shopping-habits.html?pagewanted=all&_r=0 https://www2.deloitte.com/content/dam/Deloitte/de/Documents/deloitte-analytics/Deloitte_Predictive-Maintenance_PositionPaper.pdf https://www.cs.helsinki.fi/u/htoivone/pubs/advances.pdf http://cecs.louisville.edu/datamining/PDF/0471228524.pdf https://bits.blogs.nytimes.com/2012/03/28/bizarre-insights-from-big-data https://scholar.harvard.edu/files/todd_rogers/files/political_campaigns_and_big_data_0.pdf https://insights.spotify.com/us/2015/09/30/50-strangest-genre-names/ https://www.theguardian.com/news/2005/jan/12/food.foodanddrink1 https://adexchanger.com/data-exchanges/real-world-data-science-how-ebay-and-placed-put-theory-into-practice/ https://www.theverge.com/2015/9/30/9416579/spotify-discover-weekly-online-music-curation-interview http://blog.galvanize.com/spotify-discover-weekly-data-science/ Audio Source: https://freesound.org/people/makosan/sounds/135191/ Image Source: https://commons.wikimedia.org/wiki/File:Swiss_average.png
Views: 139633 SciShow
EmoText for opinion mining in long texts
 
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http://socioware.de https://www.researchgate.net/publication/278383087_Opinion_Mining_and_Lexical_Affect_Sensing EmoText for opinion mining in long texts illustrates a domain-independent approach to opinion mining. A thorough description is available in the book "Opinion mining and lexical affect sensing". Empirically revealed that texts should contain not less than 200 words for reliable classification. The engine evaluates features (lexical, stylometric, grammatical, deictic) using different evaluation methods and uses the SMO or NaiveBayes classifiers from the WEKA data mining toolkit for text classification. Statistical EmoText formed a basis for the statistical framework for experimentation and rapid prototyping. The approach was tested on the following English corpora: a Pang corpus with weblogs, Berardinelli movie review corpus with movie reviews, a corpus with spontaneous dialogues (the SAL corpus), and a corpus with product reviews.
Views: 965 Alexander Osherenko
Ethics of Federal Data Mining/Phone Record Review
 
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San Diego State University ethics expert, Dr. Wendy Patrick, discusses the recent revelations of the federal government's monitoring of phone records and Internet traffic.
Views: 214 Andy Aztec
Import Data and Analyze with MATLAB
 
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Data are frequently available in text file format. This tutorial reviews how to import data, create trends and custom calculations, and then export the data in text file format from MATLAB. Source code is available from http://apmonitor.com/che263/uploads/Main/matlab_data_analysis.zip
Views: 353564 APMonitor.com
Law Review Symposium 2011 | Data Mining and Privacy | Cooley Law School
 
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Who's Mining Your Business: Privacy Infringement and Profits. The symposium will focus on data mining, the practice of collecting and selling data. The symposium will provide an opportunity to discuss how data mining can potentially infringe on an Internet user's privacy and what the legal response to such infringement should be.
Gros Live - 3k ABO Cimer chefs ! - SSCF review New, Bannière, Event, datamining - DFFO nouvelle bann
 
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http://dissidiadb.com Twitter :@Pix_Perience https://www.facebook.com/groups/saintseiyacosmofantasyFR/?ref=br_rs Discord : https://discord.gg/mjRQYZ5 FB : https://www.facebook.com/Pix25/ Me soutenir avec Tipeee : Tipeee :https://www.tipeee.com/pix-perience Partenaires : http://www.saint-seiyaradio.fr/ http://fr.saint-seiya-cosmo-fantasy.wikia.com/wiki/Accueil http://saint-seiya-games.forumactif.com/ Programme Télé 7 jours : **Du lundi au vendredi, tous les jours de 11h00 à 12h30, c'est le Morning Live !* * Passez un moment de détente dans la bonne humeur et participez au sujets brûlants du moment sur fond de Gameplay (ça détend) Invité, vocal, Giveaway, du fun et du café ! **Tous les mercredi à 20h30, c'est le GROS Live !** Test de nouveaux jeux, Beta, analyses, PvP entre et contre les viewer, on prend le temps de se faire plaisir et ça se termine quand ça se termine (et souvent c'est tard ) **Tous les samedi à 15h30, le GROS live du week end !** Découvrez des nouveautés, des pull, du gameplay, beaucoup trop de sel mais surtout de la déconne et des cookies ! -----------------
Views: 1676 Pix'Perience
Science Book Review: The Elements of Statistical Learning: Data Mining, Inference, and Prediction...
 
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http://www.ScienceBookMix.com This is the summary of The Elements of Statistical Learning: Data Mining, Inference, and Prediction, Second Edition (Springer Series in Statistics) by Trevor Hastie, Robert Tibshirani, Jerome Friedman.
Views: 1635 ScienceBookMix
A Systematic Review on Educational Data Mining
 
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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 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: 14 myproject bazaar
Large-Scale Graph Data Mining with MapReduce a Bag of Tricks, by Nima Sarshar, Ph.D. Intuit 20130624
 
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Speaker: Nima Sarshar, Ph.D. Intuit Event Details Many modern large-scale data mining problems are defined on graphs (think of People you May Know) , or have a graph representation (think of Collaborative filtering and it's bi-partite graph representation). This makes Hadoop and the MapReduce framework natural candidates to tackle them. Some graph processing algorithms, e.g. global PageRank, can be ported into the MapReduce framework rather straightforwardly. Others require various degrees of combinatorial tricks. In this talk, we review several fundamental graph processing algorithms that require careful, and often beautiful, tricks to scale when dealing with very large graphs. These include enumerating triangles and rectangles (e.g., to find Friends in Common at scale) , creating induced latent networks and collaborative filtering on bi-partite graphs, Personalized PageRank and more. We will describe some of the applications of these algorithms at Intuit. Speaker Bio Nima is a Senior Data Scientist at Intuit. Before Intuit he was the co-founder and CTO of Haileo Inc, a Santa Clara based star up specializing in context-based video advertisement. Before that, he was an Associate Prof. of Software Engineering at the University of Regina, Canada.
Views: 2516 San Francisco Bay ACM
More Data Mining with Weka (4.4: Fast attribute selection using ranking)
 
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More Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 4: Fast attribute selection using ranking http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/I4rRDE https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 14545 WekaMOOC
Developing data mining applications (KDD 2012)
 
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Developing data mining applications KDD 2012 Geoff Holmes In this talk I will review several real-world applications developed at the University of Waikato over the past 15 years. These include the use of near infrared spectroscopy coupled with data mining as an alternate laboratory technique for predicting compound concentrations in soil and plant samples, and the analysis of gas chromatography mass spectrometry (GCMS) data, a technique used to determine in environmental applications, for example, the petroleum content in soil and water samples. I will then briefly discuss how experience with these applications has led to the development of an open-source framework for application development.
A Systematic Review on Educational Data Mining | Final Year Projects 2016 - 2017
 
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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 @ http://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: 248 myproject bazaar
[FFBE] Final Fantasy Brave Exvius - Nameless Gunner Jake Banner Review PLUS Data Mine Fryevia News!
 
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Hey everyone! Didn't get a chance to do a news video on this week's FFBE updates BUT I didn't wanna leave you hanging on this banner review! Nameless Gunner Jake really just doesn't stand up to the other CG units released in the past and really he doesn't work much as a character at all IMO. We have some amazing data mined Fryevia and Xon ability awakening news that got dropped on Reddit doe! ====================================================== ► Twitch: https://www.twitch.tv/claicyuzolt ► Twitter: https://www.twitter.com/claicyuzolt ► Patreon: https://www.patreon.com/claicyuzolt ► Merchandise: https://goo.gl/D2kTRQ ► Discord: http://discord.gg/NerdSociety
Views: 14666 Claic Yuzolt
Opinion Mining For Hotel Rating Through Reviews
 
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Get the project at http://nevonprojects.com/opinion-mining-for-hotel-rating-through-reviews/ System is an advanced and automated hotel rating system by scanning user sentiments on hotel reviews.
Views: 3218 Nevon Projects
[Paladins] Data mine Review and Ability Concept (Swap the Speculator)
 
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Sources: Unreal Ayman datamine tumblr post: https://unrealayman.tumblr.com/post/178336582050/paladins-pts-16-datamining Cyber Punk Koga Model: https://www.youtube.com/watch?v=ILBU0fVIVy0 Cyber Punk Koga Voice lines: https://www.youtube.com/watch?v=l78C8Cwd4-4 Khan mixer skin Model: https://www.youtube.com/watch?v=R_ndhK1uGxY Mal’ Damba Model: https://www.youtube.com/watch?v=hgo59JeG3-Y Buckules Buck Model: https://www.youtube.com/watch?v=Yesbdruyzzc Buckules Buck Voice lines: https://www.youtube.com/watch?v=xjMelG9C7S4 Molten Prowler Mount: https://www.youtube.com/watch?v=s3dp_du4D0w Unfinished Mage Game play: https://www.youtube.com/watch?v=nxvEseQ8Clo&feature=youtu.be Me Stoofs Twitter: @SwapmasterX Discord: https://discord.gg/VuMAMRm Twitch: https://www.twitch.tv/swapmasterx Friends in the Video: My Associates JayFlare (maybe): https://discord.gg/DkfXZyV Roko Gaming: https://www.youtube.com/channel/UCfMAwQYId6SGEnRlEDIdhyw/featured The Music is from incompetech.com premiumbeats.com http://audionautix.com/ as far as I know I record with OBS and use Shotcut to edit my videos Outro: https://www.youtube.com/watch?v=_hbnMgHgZfs I hope you found what you were looking for
Views: 51 SwapmasterX
More Data Mining with Weka (4.1: Attribute selection using the "wrapper" method)
 
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More Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 1: Attribute selection using the "wrapper" method http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/I4rRDE https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 14772 WekaMOOC
How Much Can You Make Mining Bitcoin With 6X 1080 Ti Beginners Guide
 
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This week giveaway - https://gleam.io/MqnjB/win-a-25-bitcoinmerchcom-gift-card Nviddia GTX 1080 Ti - https://amzn.to/2Hiw5xp 6X GPU Mining Rig Case - https://bitcoinmerch.com/products/crypto-coin-open-air-mining-frame-rig-case-6-gpus-eth-btc-ethereum-6-fans PCI-E Raisers -https://bitcoinmerch.com/products/6-pcs-usb-3-0-pcie-pci-e-express-1x-to-16x-extender-riser-card-adapter-cable 1000W EVGA G2 Power Supply - https://bitcoinmerch.com/products/evga-210-gq-1000-v1-gq-80-plus-gold-1000w-eco-mode-semi-modular-power-supply SanDisk SSD PLUS 120GB Solid State Drive - https://goo.gl/JtBk1D 4gb DDR4 Ram - https://bitcoinmerch.com/products/dell-4-gb-certified-memory-module-1rx8-ddr4-udimm-2133mhz-non-ecc Asus 6 PCI-E Motherboard for LGA 1151 - https://bitcoinmerch.com/products/copy-of-gigabyte-ga-h110-d3a-rev-1-0-lga-1151-intel-h110-sata-6gb-s-usb-3-1-atx-intel-motherboard Intel BX80677G3930 7th Gen Celeron CPU - https://goo.gl/je75jC Total cost: Around $7000+ Profit: $45 - $55 per day. Electricity Cost - $120 Per month. Profit per month after electricity cost $1230 ROA in less than 6 months. Forum Post - https://goo.gl/ZL7ED2 TRACK LIST 00:00 - Ehrling - Sthlm Sunset - https://soundcloud.com/ehrling/ehrlin... 02:53 - Ehrling - Stay Forever Ft. Yohanna Seifu - https://soundcloud.com/ehrling/ehrlin... 06:06 - Ehrling - All I Need - https://soundcloud.com/ehrling/ehrlin... 08:39 - Ehrling - Palm Trees - https://soundcloud.com/ehrling/ehrlin... 12:02 - Ehrling - Adventure - https://soundcloud.com/ehrling/ehrlin... 14:11 - Ehrling - No Worries (Feat. Timon & Pumbaa) - https://soundcloud.com/ehrling/no-wor... 17:21 - Ehrling - Tease - https://soundcloud.com/ehrling/ehrlin...
Views: 904386 HowMuchBitcoin
CT475 Topic 7 Part 1: Review of Probability Basics
 
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Dr Michael Madden, National University of Ireland Galway CT475: Machine Learning & Data Mining Topic 7: Probabilistic Machine Learning Part 1: Review of Probability Basics. Contents: • Introduction & Learning Objectives • Why Consider Uncertainty? • Summary of Techniques for Handling Uncertainty • Review of Probability • Probability Notation • Axioms of Probability • Unconditional and Conditional Probability • Joint Probability Distribution • Independence & Conditional Independence • Product Rule, Total Probability, & Bayes’ Rule
Views: 832 MichaelFromGalway
Data Mining PubMed using ai-one's Analyst-Toolbox
 
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Dr. Darius Schneider provides a testimonial on the use of Analyst-Toolbox to shorten literature review times of PubMed by more than 95%. Analyst-Toolbox is a data mining tool that uses ai-one's Nathan technology to find relevant documents in big data sets. It works where keyword searches fail by automatically detecting "what matters most" without any training.
Views: 1205 ai-one
Scatterplot Review - Data Analysis with R
 
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This video is part of an online course, Data Analysis with R. Check out the course here: https://www.udacity.com/course/ud651. 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: 240 Udacity
More Data Mining with Weka (4.3: Scheme-independent attribute selection)
 
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More Data Mining with Weka: online course from the University of Waikato Class 4 - Lesson 3: Scheme-independent attribute selection http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/I4rRDE https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 5789 WekaMOOC
Advanced Data Mining with Weka (2.6: Application to Bioinformatics – Signal peptide prediction)
 
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Advanced Data Mining with Weka: online course from the University of Waikato Class 2 - Lesson 6: Application to Bioinformatics – Signal peptide prediction http://weka.waikato.ac.nz/ Slides (PDF): https://goo.gl/4vZhuc https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 2766 WekaMOOC
DATA v BAT Token review
 
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http://data.eco https://icodrops.com/data/ https://medium.com/@Blockchain_Data https://twitter.com/@Blockchain_Data Great Links to improve your Crypto World…. https://cryptomazing.threadless.com Binance Exchange for all cryptos: https://www.binance.com/?ref=16807029 Join Genesis Mining: https://www.genesis-mining.com Use code cHKj8r to get a 3% discount at Genesis Mining Buy Bitcoin with Fiat money : https://localbitcoins.com/?ch=98nf Buy Bitcoin & Ether with Credit card or Cash https://www.coinmama.com/?ref=moomin149 Buy Crypto with Credit card or Bank transfer: https://cex.io/r/0/up109903599/0/ Bitcoin Web hosting: https://secure.bitcoinwebhosting.net/aff.php?aff=313 Buy bitcoin with Cash, Card, Amazon Gift cards: https://paxful.com/roots/buy-bitcoin/index?affiliate=apDY8ExEkG6 BitBond Bitcoin Global loans: https://www.bitbond.com/?a=4H2F7FFZTM Get a trezor Hardware wallet : https://trezor.io/?a=xzq2xvv556y6 Get a Ledger secure hardware wallet: https://www.ledgerwallet.com/r/aed5 AVA Partners trade Bitcoin with Success: http://www.avatrade.com/?tag=72343 Bitcoin Ethereum Ripple Monero Litecoin Stellar Eos Neo Cardano Iota Dash Nem Tron Tether Lisk OmiseGo Verge Bitcoin Cash Bitcoin Gold AI Blockchain Artificial Intelligence
Data Mining with Weka (5.3: Data mining and ethics)
 
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Data Mining with Weka: online course from the University of Waikato Class 5 - Lesson 3: Data mining and ethics http://weka.waikato.ac.nz/ Slides (PDF): http://goo.gl/5DW24X https://twitter.com/WekaMOOC http://wekamooc.blogspot.co.nz/ Department of Computer Science University of Waikato New Zealand http://cs.waikato.ac.nz/
Views: 10718 WekaMOOC
DATA - Update Review
 
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https://www.data.eco https://medium.com/@Blockchain_Data/latest https://medium.com/@Blockchain_Data/data-dta-project-summary-may-14th-may-29th-caaf82115a56 https://medium.com/@Blockchain_Data/data-reward-program-guide-650b71035dd0 Great Links to improve your BITCOIN World…. https://cryptomazing.threadless.com Binance Exchange for all cryptos: https://www.binance.com/?ref=16807029 Join Genesis Mining: https://www.genesis-mining.com Use code cHKj8r to get a 3% discount at Genesis Mining Buy Bitcoin with Fiat money : https://localbitcoins.com/?ch=98nf Buy Bitcoin & Ether with Credit card or Cash https://www.coinmama.com/?ref=moomin149 Buy Crypto with Credit card or Bank transfer: https://cex.io/r/0/up109903599/0/ Bitcoin Web hosting: https://secure.bitcoinwebhosting.net/aff.php?aff=313 Buy bitcoin with Cash, Card, Amazon Gift cards: https://paxful.com/roots/buy-bitcoin/index?affiliate=apDY8ExEkG6 BitBond Bitcoin Global loans: https://www.bitbond.com/?a=4H2F7FFZTM Get a trezor Hardware wallet : https://trezor.io/?a=xzq2xvv556y6 Get a Ledger secure hardware wallet: https://www.ledgerwallet.com/r/aed5 AVA Partners trade Bitcoin with Success: http://www.avatrade.com/?tag=72343 Bitcoin Ethereum Ripple Monero Litecoin Stellar Eos Neo Cardano Iota Dash Nem Tron Tether Lisk OmiseGo Verge Bitcoin Cash Bitcoin Gold AI Blockchain Artificial Intelligence
Borderlands 2 - Data Mining  Story Mission Walkthrough with Commentary
 
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This video is a guide to the 2nd to last Story Mission. In it, we have to infiltrate the Hyperion Info Stockade to find out where the Warrior is, and thus find Jack. I did this mission at the normal level, which is 28. It can be tough, but if you stay back everything should die eventually. Anyway, after traveling to the Arid Nexus - Bone Yard, we have to find a way to the Info Stockade. The pipeline that Mordecai suggests won't work until we crank up the pressure by going to three different Eridium Pumping Stations, and I show you some decent ways to do it. When you've finished the final Pumping Station go back to the pipe from earlier and blow it up, be sure to watch my epic fail at trying to do so at 06:30. Anyway, travel through the pipe fight your way to the Arid Nexus - Badlands, an area I'm told comes from the very beginning of the original Borderlands. The Badlands are pretty cool. There are some Skags and LOADERs of various sorts, and its the final area of this mission, AND it has and awesome boss named Saturn. Saturn is one tough, giant, well armed robot that gets shot from space and lands right between you and where you need to go. He's giant, he's yellow, he has like 50 guns of all types, as well as missiles and repair bots, that are all firing at you. The trick to taking him down easy is to stay the hell away from him. Stick to where I am in the video and it'll be over quick. After taking down Saturn and getting some bad ass loot head up to the highway and make your way towards the Info Stockade. Several LOADERs and a Constructor get in your way, and once you finally get in two more Constructors and a ton of Robots and Hyperion Soldiers stand between you and the Data you've come all this way for. It can be tough but just be quick and funnel the enemies into the tight corners on the lower levels, away from the action. Grab the Data after slaughtering all the robots and make your way back to Sanctuary and prepare for the final mission. Spoiler, it's awesome. Thanks for watching!!
Views: 7332 Tazimus Maximus

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