If you're an experienced programmer interested in crunching data, this book will get you started with machine learning-a toolkit of algorithms that enables computers to train themselves to automate useful tasks. Authors Drew Conway and John Myles White help you understand machine learning and statistics tools through a series of hands-on case studies, instead of a traditional math-heavy presentation. Each chapter focuses on a specific problem in machine learning, such as classification, prediction, optimization, and recommendation. Using the R programming language, you'll learn how to analy
Machine learning studies automatic methods of learning to make accurate predictions or useful decisi...
Applied statistics, aka ‘Machine Learning’, offers a wealth of techniques for answering ...
Machine learning is an emerging area of computer science that deals with the design and development ...
Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a l...
Machine learning techniques have the potential of alleviating the complexity of knowledge acquisitio...
This book is the study of computer algorithms that improve automically through experience. Successfu...
Machine Learning: An overview with the help of R software Preface This book intends to provide an ...
The purpose of this book is to provide an up-to-date and systematical introduction to the principles...
Machine learning is a model that learns patterns in data and then calculates similar patterns in new...
Machine learning is an emerging area of computer science that deals with the design and development ...
The goal of this book is to present the latest applications of machine learning, which mainly includ...
One of the most important assets to be protected is information, as every aspect of the life of a s...
The purpose of this course is to present researchers and scientists with R implementation of Machine...
Data science has gained importance since available data and hardware facilities have been ubiquitous...
Data is driving the future of computation: analysis, visualization, and learning algorithms power sy...
Machine learning studies automatic methods of learning to make accurate predictions or useful decisi...
Applied statistics, aka ‘Machine Learning’, offers a wealth of techniques for answering ...
Machine learning is an emerging area of computer science that deals with the design and development ...
Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a l...
Machine learning techniques have the potential of alleviating the complexity of knowledge acquisitio...
This book is the study of computer algorithms that improve automically through experience. Successfu...
Machine Learning: An overview with the help of R software Preface This book intends to provide an ...
The purpose of this book is to provide an up-to-date and systematical introduction to the principles...
Machine learning is a model that learns patterns in data and then calculates similar patterns in new...
Machine learning is an emerging area of computer science that deals with the design and development ...
The goal of this book is to present the latest applications of machine learning, which mainly includ...
One of the most important assets to be protected is information, as every aspect of the life of a s...
The purpose of this course is to present researchers and scientists with R implementation of Machine...
Data science has gained importance since available data and hardware facilities have been ubiquitous...
Data is driving the future of computation: analysis, visualization, and learning algorithms power sy...
Machine learning studies automatic methods of learning to make accurate predictions or useful decisi...
Applied statistics, aka ‘Machine Learning’, offers a wealth of techniques for answering ...
Machine learning is an emerging area of computer science that deals with the design and development ...