Machine Learning

Machine Learning with SAM and Alexa

Six Questions for Kesha Williams of AWS Machine Learning in Motion

By Frances Lefkowitz, Manning Development Editor

Kesha Williams is a full-stack web developer specializing in Java and AWS. She has won numerous awards for her innovative development, as well as her work as a college professor, speaker, tech blogger, and mentor. The founder of Colors of STEM, which cultivates role models to inspire girls of all races to enter the science and tech fields.

Deep Machine Learning

From Deep Learning Crash Course by Oliver Zeigermann

Develop Superior Machine Learning Algorithms

From Graph-Powered Machine Learning by Alessandro Negro


How Can You Benefit from Deep Learning?

From our Deep Learning Crash Course by Oliver Zeigermann


What Are GANs?

By Vladimir Bok, author of GANs in Action

This article discusses the history and meaning of Generative Adversarial Networks, and their potential.

What can Machine Learning do for your Business?


From Machine Learning for Business by Doug Hudgeon, and Richard Nichol

PyTorch Crash Course, Part 3

From Deep Learning with PyTorch

by Eli Stevens and Luca Antiga

In this article, we explore some of PyTorch’s capabilities by playing generative adversarial networks.

S.A.M. Uses Machine Learning Services Hosted on AWS to Predict Crime

From AWS Machine Learning in Motion

By Kesha Williams

A Practice-Oriented Approach to Data Science


From Practical Data Science with R, Second Edition
By Nina Zumel and John Mount

Learn to Create Constantly-Learning AI Agents


From Reinforcement Learning in Motion
By Phil Tabor

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