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Course
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Play by Play: Machine Learning Exposed
In this course, you’ll explore machine learning topics, such as supervised learning, unsupervised learning, reinforcement learning, and deep learning.
What you'll learn
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.
About the authors
Katharine is a software developer, consultant and international conference speaker with a passion for learning: having degrees in Natural Sciences, a diploma Law and working to a Masters in Computer Science. She loves sharing knowledge, Machine Learning and cycling.
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James Weaver is a Java developer, author, and speaker with a passion for cloud-native applications, machine learning, and quantum computing.
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