2018 | ISBN: n/a | English | 237 pages | PDF | 1,1 MB

You must understand algorithms to get good at machine learning.

The problem is that they are only ever explained using Math. No longer.
In this mega Ebook written in the friendly Machine Learning Mastery style that you're used to, finally cut through the math and learn exactly how machine learning algorithms work.
Using clear explanations, simple pure Python code (no libraries!) and step-by-step tutorials you will discover how to load and prepare data, evaluate model skill, and implement a suite of linear, nonlinear and ensemble machine learning algorithms from scratch.



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