Pragmatic Ai ― An Introduction to Cloud-based Machine Learning

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. Coverage includes:

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

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/.