Microsoft Machine Learning Smackdown
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Microsoft Machine Learning Smackdown



comparing tools to use with Excel for Machine Learning - XLMiner, Data-Mining Add-ins, PredixionSoftware

comparing tools to use with Excel for Machine Learning - XLMiner, Data-Mining Add-ins, PredixionSoftware



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Microsoft Machine Learning Smackdown Presentation Transcript

  • 1. Machine Learning Smackdown Mark Tabladillo Lynn Langit May 7-9, 2014 | San Jose, CA
  • 2. Please silence cell phones
  • 3. Agenda Goal: Survey ML tools/methods that you can actually use on the Microsoft stack • Definitions • Tools I – Understanding 3rd party Excel Machine Learning Add-ins • Tools II – Using the Microsoft SQL Server SSAS & Data Mining Add-ins • Tools III – Using Predixion Software • Recap and Call To Action 3
  • 4. Terms Goal: Create common definitions of key terms • Business Analytics • Query • Aggregation • Predictive Analytics • Machine Learning • Statistics • Unsupervised Data Mining • Supervised Data Mining • Other 4
  • 5. What does the market look like now? 5 57%28% 10% 5% Regular Analytics Unsupervised DM Supervised DM Machine Learning
  • 6. CRISP DM Lifecycle applied to ML 6
  • 7. Machine Learning – an Example 7
  • 8. An aside…about R Language 8
  • 9. Using R
  • 10. About 3rd party Excel Machine Learning Add-ins What are they? Toolbars in Excel – many different offerings • XLMiner • StatsMiner • XLStat • RExcel 10 Important: All of these tools assume expert statistical knowledge
  • 11. Viewing 3rd Party Add-ins XLMiner
  • 12. About the Data Mining Add-ins For Excel What is it? Free add-ins which add menus to use SSAS Analysis Services Data Mining • Table Analysis Tools for Excel • Use mining models with Excel data or external data • Data Mining Client for Excel • Create/test/explore/manage Mining Models • Data Mining Templates for Visio • Render/share mining models as Visio Drawings 12 Important: Use requires connection to SQL Server 2012 SSAS
  • 13. Using the Data Mining Add-ins for Excel DEMO
  • 14. Checking Understanding… Data Mining Structures • Containers for cleansed source data Data Mining Models • Child containers for source data plus one mining algorithm • SSAS Algorithms - Clustering, Time Series Prediction, Market-Basket Analysis, Text Mining and Neural Networks Model Verification, Processing and Usage Tools • Model query, Model processing 14
  • 15. About Predixion Software What is it? Suite of tools for predictive analytics • Insight Now • Use mining models with Excel data or external data • Insight Analytics • Create/test/explore/manage Mining Models • Insight Workbench • Prepare data for model creation • Web-based Viewers and Tools 15 Important: Runs as EITHER connected to SSAS on premise OR Connected to Predixion’s cloud-based servers
  • 16. Using Predixion Software DEMO
  • 17. 17
  • 18. Understanding options… 18 Add-in Server Required Complexity of install Other Cost of Add-in Cost of Solution XLMiner none easy Assumes stats expertise $$ $$ RExcel none easy Assumes R expertise $ $ Data Mining Add-ins SQL Server SSAS medium Designed for single user 0 $$$ Predixion on premise SQL Express easy Requires local R install 0 $$-$$$ Predixion on premise SQL Server SSAS medium Your data is stored locally 0 $$$$ Predixion cloud none easy Supports SSAS Data Mining AND R Language 0 $$-$$$
  • 19. 19 Machine Learning Skills Data Scientist Store Clean Aggregate ML Engineer Selects Libraries Applies Algorithms Creates Solutions ML Researcher Creates Algorithms
  • 20. Learning Paths – ML Developers • Learn a language… DMX, PAX, R, Mahout, Julia • Pick your IDE, tools… SSAS, Predixion, R-Studio, Weka • Pick a problem space… Marketing, Health, Financial • Find (purchase)/gather/prepare some data… GO!  (Visualize results) 20
  • 21. Call to Action – ML Decision Makers • Pick one or more solutions • Gather source data • Prepare source data • Try out some data mining algorithms Evaluate it Understand it • Tooling • Learning • Data gathering/ preparation • Storage / hosting • Results 21
  • 22. • Free Courseware (Java, Small Basic or C# [on Pluralsight]) • Do a Recipe  Teach a Kid (Ages 10 ++) • recipes)
  • 23. Q & A ?
  • 24. Session Evaluations Submit by 5pmFriday May 9 to WIN prizes Your feedback is important and valuable. ways to access Go to passbac2014/evals Download the PASS EVENT App from your App Store and search: PASS BAC 2014 Follow the QR code link displayed on session signage throughout the conference venue and in the program guide
  • 25. for attending this session and the PASS Business Analytics Conference 2014 May 7-9, 2014 | San Jose, CA Thank You SoCalDevGal on