1. AZURE MACHINE LEARNING Bringing New Value To Old Data SQL Saturday #444 2015

2. ACKNOWLEDGEMENTS Greg R. Beaumont – Rise of the Machine (Learning) https://www.youtube.com/watch?v=smfDb_L4WH8 Thanks Greg!

3. ABOUT CHASE Q. AUCOIN Height: 6’10” Last name pronounced: Oak-Wine Current Position: Development Lead of Communications at VinSolutions Nearly a decade of data and software architecture experience Let’s connect on LinkedIn https://www.linkedin.com/in/chaseaucoin

4. WHAT I HOPE YOU GET OUT OF THIS SESSION What Is Machine Learning How Can Predictive Analytics & Azure ML Add Value To My Organization What Is Azure ML, & Why Is It Different From Traditional ML Tools Example Use Cases For Azure ML How Do I Get Started With Azure ML and Machine Learning Questions & Answers / Shameless Self Promotion

5. WHAT IS MACHINE LEARNING? Machine learning explores the study and construction of algorithms that can learn from and make predictions on data. Such algorithms operate by building a model from example inputs in order to make data-driven predictions or decisions, rather than following strictly static program instructions. Machine learning is closely related to and often overlaps with computational statistics; a discipline that also specializes in prediction-making. It has strong ties to mathematical optimization, which delivers methods, theory and application domains to the field. https://en.wikipedia.org/wiki/Machine_learning

6. WHAT IS MACHINE LEARNING?

7. ML|DATA MINING|DATA SCIENCE|AI|BIG DATA

8. Statistics

9. ML|DATA MINING|DATA SCIENCE|AI|BIG DATA Statistics Data Science

10. ML|DATA MINING|DATA SCIENCE|AI|BIG DATA Statistics Data Science Predictive Analytics

11. ML|DATA MINING|DATA SCIENCE|AI|BIG DATA Statistics Data Science Predictive Analytics Machine Learning

12. ML|DATA MINING|DATA SCIENCE|AI|BIG DATA Statistics Data Science Predictive Analytics Machine Learning Data Mining

13. ML|DATA MINING|DATA SCIENCE|AI|BIG DATA Statistics Data Science Predictive Analytics Machine Learning Data Mining Big Data Massive volumes of structured and unstructured data.

14. ML|DATA MINING|DATA SCIENCE|AI|BIG DATA Statistics Data Science Predictive Analytics Machine Learning Data Mining Big Data Artificial Intelligence “The study and design of intelligent agents” and the creation of machines that learn Massive volumes of structured and unstructured data.

15. MACHINE LEARNING SUCCESS STORIES

16. Halo player matching

17. MACHINE LEARNING SUCCESS STORIES Halo player matching SPAM filters

18. MACHINE LEARNING SUCCESS STORIES Halo player matching SPAM filters Recommendation Engines

19. MACHINE LEARNING SUCCESS STORIES Halo player matching SPAM filters Recommendation Engines Handwriting Recognition

20. MACHINE LEARNING SUCCESS STORIES Halo player matching SPAM filters Recommendation Engines Handwriting Recognition News Story Clustering

21. MACHINE LEARNING SUCCESS STORIES Halo player matching SPAM filters Recommendation Engines Handwriting Recognition News Story Clustering Credit Fraud Detection

22. MACHINE LEARNING SUCCESS STORIES Halo player matching SPAM filters Recommendation Engines Handwriting Recognition News Story Clustering Credit Fraud Detection Self Driving Cars

23. MACHINE LEARNING SUCCESS STORIES Halo player matching SPAM filters Recommendation Engines Handwriting Recognition News Story Clustering Credit Fraud Detection Self Driving Cars Robotics

24. MACHINE LEARNING SUCCESS STORIES Halo player matching SPAM filters Recommendation Engines Handwriting Recognition News Story Clustering Credit Fraud Detection Self Driving Cars Robotics Image Recognition

25. Business Need

26. Intuition

27. Business Need Intuition Business Analysis

28. Business Need Intuition Business Analysis Technical Analysis

29. Business Need Intuition Business Analysis Technical Analysis Development

30. Business Need Intuition Business Analysis Technical Analysis DevelopmentDeployment

31. Business Need Intuition Business Analysis Technical Analysis DevelopmentDeploymentValidation

34. DEMO | SANITIZATION & FEATURE SELECTION

35. DEMO | TRAINING A MODEL

36. DEMO | EVALUATION & VALIDATION

37. DEMO | DEPLOYMENT & UTILIZATION

39. SHAMELESS SELF PROMOTION Education & Assistance: Coding Patterns/Practices, Building To Scale, WCF, Cloud Patterns, API Management, Machine Learning, Azure Administration, Deployment Automation: Phone/Text: 816-209-0033 https://www.linkedin.com/in/chaseaucoin chase@cupcakefactory.net Cupcake Factory – Distributed services made easy. Ask about alpha access! http://cupcakefactory.net

40. REFERENCES Greg R. Beaumont – Rise of the Machine (Learning)  https://www.youtube.com/watch?v=smfDb_L4WH8 https://www.youtube.com/watch?v=smfDb_L4WH8 Azure ML Pricing & Info  http://azure.microsoft.com/en-us/services/machine-learning/ http://azure.microsoft.com/en-us/services/machine-learning/ Azure ML Studio  https://studio.azureml.net/ https://studio.azureml.net/ Azure ML Gallery  https://gallery.azureml.net/ https://gallery.azureml.net/

41. QUESTIONS AND ANSWERS Go ahead. Get it off your chest. I’m listening.

42. THANK YOU!!