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Machine Learning
Smackdown
Mark Tabladillo
Lynn Langit
May 7-9, 2014 | San Jose, CA
Please silence
cell phones
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
57%28%
10%
5%
Regular Analytics
Unsupervised DM
Supervised DM
Machine Learning
CRISP DM Lifecycle applied to ML
6
Machine Learning – an Example
7
An aside…about R Language
8
Using R
About 3rd party Excel Machine Learning Add-ins
What are they?
Toolbars in Excel – many different offerings
• XLMiner
• Sta...
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
17
Understanding options…
18
Add-in
Server
Required
Complexity
of install
Other
Cost of
Add-in
Cost of
Solution
XLMiner none ...
19
Machine Learning Skills
Data Scientist
Store
Clean
Aggregate
ML Engineer
Selects Libraries
Applies
Algorithms
Creates
S...
Learning Paths – ML Developers
• Learn a language… DMX, PAX, R, Mahout, Julia
• Pick your IDE, tools… SSAS, Predixion, R-S...
Call to Action – ML Decision Makers
• Pick one or more solutions
• Gather source data
• Prepare source data
• Try out some...
www.TeachingKidsProgramming.org
• Free Courseware (Java, Small Basic or C# [on Pluralsight])
• Do a Recipe  Teach a Kid (...
Q & A ?
Session Evaluations
Submit by 5pmFriday May
9 to WIN prizes
Your feedback is
important and valuable.
ways to access
Go to
...
for attending this session and
the PASS Business Analytics
Conference 2014
May 7-9, 2014 | San Jose, CA
Thank
You
SoCalDev...
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Microsoft Machine Learning Smackdown

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

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Transcript of "Microsoft Machine Learning Smackdown"

  1. 1. Machine Learning Smackdown Mark Tabladillo Lynn Langit May 7-9, 2014 | San Jose, CA
  2. 2. Please silence cell phones
  3. 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. 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. 5. What does the market look like now? 5 57%28% 10% 5% Regular Analytics Unsupervised DM Supervised DM Machine Learning
  6. 6. CRISP DM Lifecycle applied to ML 6
  7. 7. Machine Learning – an Example 7
  8. 8. An aside…about R Language 8
  9. 9. Using R
  10. 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. 11. Viewing 3rd Party Add-ins XLMiner
  12. 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. 13. Using the Data Mining Add-ins for Excel DEMO
  14. 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. 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. 16. Using Predixion Software DEMO
  17. 17. 17
  18. 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. 19 Machine Learning Skills Data Scientist Store Clean Aggregate ML Engineer Selects Libraries Applies Algorithms Creates Solutions ML Researcher Creates Algorithms
  20. 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. 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. 22. www.TeachingKidsProgramming.org • Free Courseware (Java, Small Basic or C# [on Pluralsight]) • Do a Recipe  Teach a Kid (Ages 10 ++) • recipes)
  23. 23. Q & A ?
  24. 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. 25. for attending this session and the PASS Business Analytics Conference 2014 May 7-9, 2014 | San Jose, CA Thank You SoCalDevGal on
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