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Pragmatic AI: An Introduction to Cloud-Based Machine Learning, Rough Cuts

Pragmatic AI: An Introduction to Cloud-Based Machine Learning, Rough Cuts

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  • Copyright 2019
  • Dimensions: 7" x 9-1/8"
  • Edition: 1st
  • Rough Cuts
  • ISBN-10: 0-13-486394-1
  • ISBN-13: 978-0-13-486394-8

This is the Rough Cut version of the printed book.

Pragmatic AI is the first truly practical guide to solving real-world problems with contemporary machine learning, artificial intelligence, and cloud computing tools. Writing for business professionals, decision-makers, and students who aren’t professional data scientists, Noah Gift demystifies all the tools and technologies you need to get results. He illuminates powerful off-the-shelf cloud-based solutions from Google, Amazon, and Microsoft, as well as accessible techniques using Python and R. Throughout, you’ll find simple, clear, and effective working solutions that show how to apply machine learning, AI and cloud computing together in virtually any organization, creating solutions that deliver results, and offer virtually unlimited scalability.

  • Get and configure all the tools you’ll need
  • Quickly and efficiently deploy AI applications using spreadsheets, R, and Python
  • Master the full application lifecycle: Download, Extract, Transform, Model, Serve Results
  • Get started with Cloud Machine Learning Services, Amazon’s AWS AI Services, and Microsoft’s Cognitive Services API
  • Uncover signals in Facebook, Twitter and Wikipedia
  • Listen to channels via Slack bots running on AWS Lambda (serverless)
  • Retrieve data via the Twitter API and extract follower relationships
  • Solve project problems and find highly-productive developers for data science projects
  • Forecast current and future home sales prices with Zillow
  • Use the increasingly popular Jupyter Notebook to create and share documents integrating live code, equations, visualizations, and text
  • And much more

Sample Content

Table of Contents




About the Author

Part I: Introduction to Pragmatic AI

Chapter 1: Introduction to Pragmatic AI

Chapter 2: AI and ML Toolchain

Chapter 3: Spartan AI Lifecycle

Part II: AI in the Cloud

Chapter 4: Cloud AI Development with Google Cloud Platform

Chapter 5: Cloud Ai Development with Amazon Web Services

Part III: Creating Practical AI Applications from Scratch

Chapter 6: Predicting Social-Media Influence in the NBA

Chapter 7: Creating an Intelligent Slackbot on AWS

Chapter 8: Finding Project Management Insights from a Github Organization

Chapter 9: Dynamically Optimizing EC2 Instances on AWS

Chapter 10: Real Estate

Chapter 11: Production AI for User Generated Content (UGC)

Appendix A: AI Accelerators

Appendix B: Deciding on Cluster Size



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