3 Things To Check Before Buying A Book On Python Machine Learning - AI Summary

Beginner books usually spend several chapters discussing the basics of machine learning, mathematics, data preprocessing and data types, and the machine learning pipeline. Introductory books contain chapters that explain basic Python libraries used in data science and ML tasks (Source: Principles of Data Science)Beginner and intermediate books provide a high-level view of the entire machine learning pipeline with an end-to-end example. Most machine learning books have a GitHub repository that can be found through Google search.GitHub repositories of Python machine learning books have different structures. Good code examples should contain comments that describe the steps of each experiment (Source: Machine Learning Algorithms, Second Edition)Aside from the quality, the code files provide some good hints on the audience of the book in case the prerequisite section doesn't provide enough information: Generator functions like make_blob create data sets that are good for testing machine learning algorithms, but don't provide real-world context No single book to make you a master of Python machine learning. Stay updated on last news about Artificial Intelligence.