Probability theory is the mathematical study of uncertainty. It plays a central role in machine learning, as the design of learning algorithms often relies on probabilistic assumption of the data.This book covers This introduction presents the mathematical theory of probability for readers in the fields of engineering and the sciences who possess knowledge of elementary calculus. Presents new examples and exercises throughout. Offers a new section that presents an elegant way of computing the moments of random variables defined as the number of events that occur.This book is an excellent...
Probability theory is the mathematical study of uncertainty. It plays a central role in machine learning, as the design of learning algorithms often r...
The purpose of machine learning is to discover patterns in your data and then make predictions based on often complex patterns to answer business questions, detect and analyse trends and help solve problems.This book provides a single source introduction to the primary approaches to machine learning. It is intended for advanced undergraduate and graduate students, as well as for developers and researchers in the field.The machine learning section begins with the basis of learning and the various association rule learning algorithms. Various types of learning like, reinforced, supervised,...
The purpose of machine learning is to discover patterns in your data and then make predictions based on often complex patterns to answer business ques...
