Play by Play is a series in which top technologists work through a problem in real time, unrehearsed, and unscripted. In this course, Play by Play: Machine Learning Exposed, James Weaver and Katharine Beaumont will start with the basics, and build up in an approachable way to some of the most interesting techniques machine learning has to offer. Explore Linear Regression, Neural Networks, clustering, and survey various machine learning APIs and platforms. By the end of this course, you’ll get an overview of what you can achieve, as well as an intuition on the maths behind machine learning.
Author Name: Katharine Beaumont
Author Description:
Katharine is a software developer, having worked on medical software, Big Data and complex event processing, web development and Machine Learning. She has given a number of international conference talks on her experiences in the software industry. With a background in science, law, mathematics and more recently studying for a Masters in Computer Science, she (unsurprisingly) loves learning!

Table of Contents

• Course Overview
  1min
• Machine Learning Introduction
  34mins
• Supervised Learning
  88mins
• Reinforcement Learning
  35mins
• Course Conclusion
  12mins