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Machine Learning
Smackdown
Lynn Langit
May 7-9, 2014 | San Jose, CA
Agenda
Goal: Survey ML tools/methods that you can actually use on the Microsoft stack
• Definitions
• Tools I – Understand...
Terms
Goal: Create common definitions of key terms
• Business Analytics
• Query
• Aggregation
• Predictive Analytics
• Mac...
What does the market look like now?
5
Regular Analytics
Unsupervised DM
Supervised DM
Machine Learning
CRISP DM Lifecycle applied to ML
6
Machine Learning – an Example
7
About 3rd party Excel Machine Learning Add-ins
What are they?
Toolbars in Excel – many different offerings
• XLMiner
• Sta...
An aside…about R Language
9
Viewing 3rd Party
Add-ins XLMiner
About the Data Mining Add-ins For Excel
What is it?
Free add-ins which add menus to use SSAS Analysis Services Data Mining...
Using the Data
Mining Add-ins for
Excel
DEMO
Checking Understanding…
Data Mining Structures
• Containers for cleansed source data
Data Mining Models
• Child containers...
About Predixion Software
What is it?
Suite of tools for predictive analytics
• Insight Now
• Use mining models with Excel ...
Using Predixion
Software
DEMO
16
Understanding options…
17
Add-in
Server
Required
Complexity
of install
Other
Cost of
Add-in
Cost of
Solution
XLMiner none ...
18
Machine Learning Skills
Data Scientist
Store
Clean
Aggregate
ML Engineers
Selects Libraries
Applies
Algorithms
Creates
...
Learning Paths – ML Developers
Learn a language… DMX, PAX, R, Mahout, Julia
Pick your IDE, tools… SSAS, Predixion, R-Studi...
Call to Action – ML Decision Makers
• Pick one or more solutions
• Gather source data
• Prepare source data
• Try out some...
JOIN US to stay ahead of the curve in the changing world of analytics with:
• 70+ sessions by the world’s top BI and BA ex...
Thank
You SoCalDevGal on
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Microsoft Machine Learning Smackdown

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comparison of Excel add-ins and other solutions for implementing data mining or machine learning solutions on the Microsoft stack - includes coverage of XLMiner, Analysis Services Data Mining and PredixionSoftware

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  • http://www.sqlpass.org/bac/2014/Sessions/Details.aspx?sid=5710
  • Image - http://www.masternewmedia.org/the-google-panda-guide-part-2-machine-learning-and-the-new-mindset/
  • http://decisionstats.files.wordpress.com/2011/10/kdd.gif
  • http://gigaom.com/2012/11/19/where-machine-learning-and-human-artistry-meet-your-wallet/
  • Rexcel - http://rcom.univie.ac.at/
  • http://www.r-project.org/
  • http://www.microsoft.com/en-us/download/details.aspx?id=35578
  • http://blogs.msdn.com/b/data__knowledge__intelligence/archive/2013/05/21/data-mining-plugin-for-excel-2013.aspx
  • http://technet.microsoft.com/en-us/library/ms174757.aspx
  • http://www.microsoft.com/en-us/download/details.aspx?id=35578
  • R-Excel -- http://rcom.univie.ac.at/
  • Concept from -- http://lh3.ggpht.com/-hBUE4diPT28/UvYcixQpDSI/AAAAAAAAC8s/-zf_IPyvDcs/ML%252520Skills%252520Pyramid%252520v1.0.png
  • Transcript of "Microsoft Machine Learning Smackdown"

    1. 1. Machine Learning Smackdown Lynn Langit May 7-9, 2014 | San Jose, CA
    2. 2. 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
    3. 3. 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
    4. 4. What does the market look like now? 5 Regular Analytics Unsupervised DM Supervised DM Machine Learning
    5. 5. CRISP DM Lifecycle applied to ML 6
    6. 6. Machine Learning – an Example 7
    7. 7. About 3rd party Excel Machine Learning Add-ins What are they? Toolbars in Excel – many different offerings • XLMiner • StatsMiner • XLStat • RExcel 8 Important: All of these tools assume expert statistical knowledge
    8. 8. An aside…about R Language 9
    9. 9. Viewing 3rd Party Add-ins XLMiner
    10. 10. 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 11 Important: Use requires connection to SQL Server 2012 SSAS
    11. 11. Using the Data Mining Add-ins for Excel DEMO
    12. 12. 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 13
    13. 13. 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 14 Important: Runs as EITHER connected to SSAS on premise OR Connected to Predixion’s cloud-based servers
    14. 14. Using Predixion Software DEMO
    15. 15. 16
    16. 16. Understanding options… 17 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 $$$ Predixion on premise SQL Express easy Requires local R install 0 $$-$$$ Predixion on premise SQL Server SSAS medium Your data is stored locally 0 $$$$ Predixion cloud none easy Supports SSAS Data Mining AND R Language 0 $$-$$$
    17. 17. 18 Machine Learning Skills Data Scientist Store Clean Aggregate ML Engineers Selects Libraries Applies Algorithms Creates Solutions ML Researcher Creates Algorithms
    18. 18. Learning Paths – ML Developers Learn a language… DMX, PAX, R, Mahout, Julia Pick your IDE, tools… SSAS, Predixion, R-Studio, Wekka Pick a problem space… Marketing, Health, Financial Find (purchase)/gather/prepare some data… GO!  (Visualize results) 19
    19. 19. 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 • Understand tooling costs • Understand learning costs • Understand data gathering costs • Understand data preparation costs • Understand data cleansing costs • Understand value of results 20
    20. 20. JOIN US to stay ahead of the curve in the changing world of analytics with: • 70+ sessions by the world’s top BI and BA experts • 20 hours of networking opportunities with 1,000 professionals in the analytics community • Real-world insights into analytics strategies from leading companies Get $300 off using discount code: BACSV Calling All Data Professionals
    21. 21. Thank You SoCalDevGal on
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