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Pluralsight

Play by Play: Machine Learning Exposed

via Pluralsight

Overview

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In this course, you’ll explore machine learning topics, such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.

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.

Syllabus

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

Taught by

Katharine Beaumont

Reviews

4.4 rating at Pluralsight based on 61 ratings

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