Machine Learning: A Pocket Guide. A Quick Guide to Structured Machine Learning Methods in Python

Author: Matt Harrison
Year: 2020
Number of pages: 322

This book includes detailed examples and commentary to help you quickly navigate through the basics of structured machine learning (ML). The author, Matt Harrison, offers a valuable reference that you can use as a supplementary guide when learning MO and as a handy resource when diving into your next machine learning project. The code snippets provided are sized so that they can be used and adapted in your own MO projects.

Ideal for programmers, data analysts, and AI engineers, the book provides an overview of the machine learning process and introduces you to the classification of structured data. The book covers the different libraries and models, their trade-offs, customization, and interpretation.