Intro to Machine Learning (And Azure) 5/16/2019 4:16 AM Intro to Machine Learning (And Azure) David Crook @Data4Bots Questions: dacrook@Microsoft.com © 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Agenda The ‘me’ slide Things to know Goals Content Summary Continuous Q&A

David Crook Microsoft Developer Evangelist Focused on Data and Embedded Systems Cool Projects I’ve worked on NASCAR – Racing Feedback App Home Depot – 135 apps ported in 6 months JP Morgan & Chase – Trading Floor Rendering Systems Real Time Oil Intelligence Systems Prototype Real Time Conversational Engine Prototype These days: data driven embedded systems Likes Fishing + Brazilian Jiu Jitsu Typically not together dacrook@Microsoft.com (980)228-6278 @Data4Bots www.indiedevspot.com

Stuff you should Know About Additional Resources Channel9: http://channel9.msdn.com Hackster: https://www.hackster.io Stack Overflow: http://stackoverflow.com/ Great Book: Machine Learning Projects for .Net Developers by Mathias Brandewinder BizSpark Free Azure Free Tools Network Partner Give to your startups for free Microsoft Innovation Center Hack Tuesdays: Mentoring every Tuesday 11am – 4pm Free Co-Working for Startups: dacrook@Microsoft.com to apply Free Training: See schedule here: http://indiedevspot.com/events/

Goals of Presentation Data Types and Acquisition The Data Lifecycle Machine Learning Hands on Lab – Predicting Home Values

Data Acquisition 3rd Party Proprietary Mined Acquired from external sources Proprietary Acquired from owned applications Mined Acquired through manipulation. Sourced typically from a combination of 3rd Party and Proprietary.

Types of Data Schematic Non Schematic Document Binary Typed with rules governing storage Non Schematic Typed with no rules Document Type of non schematic, but each entry is a document instead of a row. Commonly json format Binary Think images etc.

The Data Lifecycle  Transform + analyze Visualize + decide Data 5/16/2019 4:16 AM The Data Lifecycle VISUALIZE + DECIDE Applications Reports Dashboards Ask Mobile Transform + analyze Visualize + decide Data TRANSFORM + ANALYZE Orchestration Information management Query Prediction Collect + manage Acquire 3rd Party, Proprietary, or Mined Manage Maintain through various storage paradigms Drive intelligence Derive value from the data Archive Storage of very cold data Destroy These days, primarily just sensitive data, COLLECT + MANAGE Relational Non-relational Streaming Internal & external { }  © 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Intro to Machine Learning and AI Part of Data Lifecycle: Drive Intelligence What is Machine Learning Classification Regression Selection Machine Learning Have a calculated model based on a data set Receive a question Put question parameters through model Receive a response

The Scientific Method Make Observations Think of Interesting Questions Formulate Hypothesis Develop Testable Predictions Gather Data to Test Predictions Refine, Alter, Expand or Reject Hypothesis Develop General Theories

Hands on Lab

Download the Code! https://github.com/drcrook1/ZillowAnalysis

Predicting Home Values Data Mining Data Storage Machine Learning Web Api Back Story Moved to Florida Want to buy a house

Solution Architecture

5/16/2019 4:16 AM © 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

Hands on Lab – Azure Machine Learning Read Data in from SQL Azure Filter out some bad data Project out Features we don’t want Train 2 competing models Evaluate them against each other. Transform into production System. Publish as a web end point with api key. Notice nice documentation.

5/16/2019 4:16 AM Questions? © 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.

dacrook@Microsoft.com @Data4Bots www.indiedevspot.com 5/16/2019 4:16 AM dacrook@Microsoft.com @Data4Bots www.indiedevspot.com © 2014 Microsoft Corporation. All rights reserved. MICROSOFT MAKES NO WARRANTIES, EXPRESS, IMPLIED OR STATUTORY, AS TO THE INFORMATION IN THIS PRESENTATION.