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Supervised Machine Learning with Python

You're reading from   Supervised Machine Learning with Python Develop rich Python coding practices while exploring supervised machine learning

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Product type Paperback
Published in May 2019
Publisher Packt
ISBN-13 9781838825669
Length 162 pages
Edition 1st Edition
Languages
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Author (1):
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Taylor Smith Taylor Smith
Author Profile Icon Taylor Smith
Taylor Smith
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Summary

In this chapter, we introduced supervised learning, got our environment put together, and learned about hill climbing and model evaluation. At this point, you should understand the abstract conceptual underpinnings of what makes a machine learn. It's all about optimizing a number of loss functions. In the next chapter, we'll jump into parametric models and even code some popular algorithms from scratch.

You have been reading a chapter from
Supervised Machine Learning with Python
Published in: May 2019
Publisher: Packt
ISBN-13: 9781838825669
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