Azure Machine Learning
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Organizations today have lots and lots of data. Typically when it comes to data analysis we have to know what our measures of success are before we design our BI. These are typically manifested by competency, or domain driven KPI's but what if those metrics don't actually measure success at all? In this talk we will be discussing how to leverage azure machine learning to answer questions in your organization about success and how to find the KPI's that really matter and drive results.
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Azure Machine Learning
- 1. AZURE MACHINE LEARNING Bringing New Value To Old Data September 17th 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?
- 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.
- 16. MACHINE LEARNING SUCCESS STORIES 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
- 34. DEMO | SANITIZATION & FEATURE SELECTION
- 35. DEMO | TRAINING A MODEL
- 36. DEMO | EVALUATION & VALIDATION
- 37. DEMO | DEPLOYMENT & UTILIZATION
- 39. SHAMELESS SELF PROMOTION Education & Assitance: 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 Azure ML Pricing & Info http://azure.microsoft.com/en-us/services/machine-learning/ Azure ML Studio https://studio.azureml.net/ Azure ML Gallery https://gallery.azureml.net/
- 41. QUESTIONS AND ANSWERS Go ahead. Get it off your chest. I’m listening.
- 42. THANK YOU!!