Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees

Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees by Chris Smith
My rating: 4 of 5 stars

In the book, Decision Trees and Random Forests: A Visual Introduction For Beginners: A Simple Guide to Machine Learning with Decision Trees, the author Chris Smith makes the complicated, simple. Decision tree and random forest algorithms are often used throughout business to more quickly assimilate information and make it more accessible. These algorithms work seamlessly behind the scenes in industries from credit scoring to product development. With the use of easy to understand drawings, Chris Smith puts together a comprehensive look at how to use these applications to your advantage whether in business or even in your personal life. His example of the ice cream shop, and whether or not the shop should move to a different location is a great tutorial that explains in layman's terms how decision trees work at a very fundamental level. A great visual guide with clear illustrations, this book is strongly recommended for the beginner in machine learning algorithms in Python.

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