Book Image

Artificial Intelligence with Python - Second Edition

By : Prateek Joshi
Book Image

Artificial Intelligence with Python - Second Edition

By: Prateek Joshi

Overview of this book

Artificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications. This edition also includes seven new chapters on more advanced concepts of Artificial Intelligence, including fundamental use cases of AI; machine learning data pipelines; feature selection and feature engineering; AI on the cloud; the basics of chatbots; RNNs and DL models; and AI and Big Data. Finally, this new edition explores various real-world scenarios and teaches you how to apply relevant AI algorithms to a wide swath of problems, starting with the most basic AI concepts and progressively building from there to solve more difficult challenges so that by the end, you will have gained a solid understanding of, and when best to use, these many artificial intelligence techniques.
Table of Contents (26 chapters)
24
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25
Index

Summary

In this chapter we analyzed two important steps in the machine learning pipeline:

  • Feature selection
  • Feature engineering

As we saw, these two processes currently are as much an art as they are a science. Picking a model to use in the pipeline potentially is an easier task than deciding which features to drop and which features to generate to add to the model. This chapter is not meant to be a comprehensive analysis of feature selection and feature engineering, but rather it's a small taste and hopefully it whets your appetite to explore this topic further.

In the next chapter, we'll start getting into the meat of machine learning. We will be building machine learning models starting with supervised learning models.