Build machine learning algorithms, prepare data, and dig deep into data prediction techniques with R
Key Features
Book Description
Machine learning, at its core, is concerned with transforming data into actionable knowledge. This makes machine learning well suited to the present-day era of big data. Given the growing prominence of R's cross-platform, zero-cost statistical programming environment, there has never been a better time to start applying machine learning to your data. Machine learning with R offers a powerful set of methods to quickly and easily gain insight from your data to both, veterans and beginners in data analytics.
Want to turn your data into actionable knowledge, predict outcomes that make real impact, and have constantly developing insights? R gives you access to all the power you need to master exceptional machine learning techniques.
The second edition of Machine Learning with R provides you with an introduction to the essential skills required in data science. Without shying away from technical theory, it is written to provide focused and practical knowledge to get you building algorithms and crunching your data, with minimal previous experience.
With this book, you'll discover all the analytical tools you need to gain insights from complex data and learn to to choose the correct algorithm for your specific needs. Through full engagement with the sort of real-world problems data-wranglers face, you'll learn to apply machine learning methods to deal with common tasks, including classification, prediction, forecasting, market analysis, and clustering. Transform the way you think about data; discover machine learning with R.
What you will learn
Who This Book Is For
Perhaps you already know a bit about machine learning but have never used R, or perhaps you know a little R but are new to machine learning. In either case, this book will get you up and running quickly. It would be helpful to have a bit of familiarity with basic programming concepts, but no prior experience is required.
Table of Contents
"synopsis" may belong to another edition of this title.
Brett Lantz has used innovative data methods to understand human behavior for more than 10 years. A sociologist by training, he was first enchanted by machine learning while studying a large database of teenagers' social networking website profiles. Since then, he has worked on the interdisciplinary studies of cellular telephone calls, medical billing data, and philanthropic activity, among others.
"About this title" may belong to another edition of this title.
Shipping:
US$ 3.00
Within U.S.A.
Book Description Condition: new. Seller Inventory # newMercantile_1784393908
Book Description Paperback. Condition: new. New. Fast Shipping and good customer service. Seller Inventory # Holz_New_1784393908
Book Description Paperback. Condition: new. Buy for Great customer experience. Seller Inventory # GoldenDragon1784393908
Book Description Paperback. Condition: new. New Copy. Customer Service Guaranteed. Seller Inventory # think1784393908
Book Description Condition: new. Seller Inventory # FrontCover1784393908
Book Description Paperback. Condition: New. 2nd Edition. Ships in a BOX from Central Missouri! Ships same or next business day. UPS shipping for most packages, (Priority Mail for AK/HI/APO/PO Boxes). Seller Inventory # 001852417N
Book Description Condition: new. Seller Inventory # Hafa_fresh_1784393908
Book Description Paperback. Condition: new. New. Seller Inventory # Wizard1784393908
Book Description Condition: New. Seller Inventory # ABLIING23Mar2912160166203
Book Description PAP. Condition: New. New Book. Shipped from UK. THIS BOOK IS PRINTED ON DEMAND. Established seller since 2000. Seller Inventory # L0-9781784393908