Ranked #29 in Reinforcement Learning

Build Machine Learning models with a sound statistical understanding. About This Book - Learn about the statistics behind powerful predictive models with p-value, ANOVA, and F- statistics. - Implement statistical computations programmatically for supervised and unsupervised learning through K-means clustering. - Master the statistical aspect of Machine Learning with the help of this example-rich guide to R and Python. Who This Book Is For This book is intended for developers with little to no background in statistics, who want to implement Machine Learning in their systems. Some programming... more