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Pragmatic AI
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Table of Contents

  • 1. Introduction to Pragmatic AI
  • 2. Get Tools and Set Them Up
  • 3. Overview of Lifecycle
  • 4. Using Cloud Machine Learning Services
  • 5. Using AWS AI Services
  • 6. Cognitive Services API
  • 7. Finding Signals in Facebook, Twitter and Wikipedia
  • 8. Write a Slack Bot that Runs on AWS Lambda (Serverless) and Listens to a Channel
  • 9. Retrieve Data from Twitter API and Extract Follower Relationships
  • 10. Identify Patterns of Highly Productive Developers (and Learn How to Find Similarly Productive Developers)
  • 11. Call EC2 Price AP
  • 12. Forecasting Current and Future Sales Price of a Home Using Zillow
  • Glossary
  • Appendices

About the Author

Noah Gift is lecturer and consultant at UC Davis Graduate School of Management in the MSBA program. Professionally, Noah has approximately 20 years' experience programming in Python and is a member of the Python Software Foundation. He has worked for a variety of companies in roles ranging from CTO, general manager, consulting CTO, and cloud architect. Currently, he is consulting start-ups and other companies on machine learning and cloud architecture, and is doing CTO-level consulting via Noah Gift Consulting. He has published close to 100 technical publications including two books on subjects ranging from cloud machine learning to DevOps. He is also a certified AWS Solutions Architect. Noah has an MBA from University of California, Davis; an MS in computer information systems from California State University, Los Angeles; and a BS in nutritional science from Cal Poly, San Luis Obispo. You can find more about Noah by following him on Github (https: //github.com/noahgift/), visiting http: //noahgift.com, or connecting with him on https: //www.linkedin.com/in/noahgift/.

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