Machine Learning: An In-Depth, Non-Technical Guide - Part 1
By Alex Castrounis • Jan 27, 2016
Chapters
Overview, goals, learning types, and algorithms
Data selection, preparation, and modeling
Model evaluation, validation, complexity, and improvement
Model performance and error analysis
Unsupervised learning, related fields, and machine learning in practice ... "
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