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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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Advanced Topics in Supervised Machine Learning

In this chapter, we're going to focus on some advanced topics. We'll cover two topics: recommender systems and neural networks. We'll start with collaborative filtering, and then we'll look at integrating content-based similarities into collaborative filtering systems. We'll get into neural networks and transfer learning. Finally, we'll introduce the math and concept behind each of these, before getting into Python code.

We will cover the following topics:

  • Recommended systems and an introduction to collaborative filtering
  • Matrix factorization
  • Content-based filtering
  • Neural networks and deep learning
  • Using transfer learning
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