English | 2019 | ISBN: n/a | 291 Pages | PDF | 10 MB
Statistics is a pillar of machine learning. You cannot develop a deep understanding and application of machine learning without it.
Cut through the equations, Greek letters, and confusion, and discover the topics in statistics that you need to know.
Using clear explanations, standard Python libraries, and step-by-step tutorial lessons, you will discover the importance of statistical methods to machine learning, summary stats, hypothesis testing, nonparametric stats, resampling methods, and much more.