Mastering Machine Learning with R - Second Edition: Advanced prediction, algorithms, and learning methods with R 3.x Contributor(s): Lesmeister, Cory (Author) |
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ISBN: 1787287475 ISBN-13: 9781787287471 Publisher: Packt Publishing OUR PRICE: $52.24 Product Type: Paperback - Other Formats Published: April 2017 |
Additional Information |
BISAC Categories: - Computers | Machine Theory - Computers | Mathematical & Statistical Software - Computers | Image Processing |
Physical Information: 0.86" H x 7.5" W x 9.25" (1.58 lbs) 420 pages |
Descriptions, Reviews, Etc. |
Publisher Description: Master machine learning techniques with R to deliver insights in complex projects Key Features
Book Description This book will teach you advanced techniques in machine learning with the latest code in R 3.3.2. You will delve into statistical learning theory and supervised learning; design efficient algorithms; learn about creating Recommendation Engines; use multi-class classification and deep learning; and more. You will explore, in depth, topics such as data mining, classification, clustering, regression, predictive modeling, anomaly detection, boosted trees with XGBOOST, and more. More than just knowing the outcome, you'll understand how these concepts work and what they do. With a slow learning curve on topics such as neural networks, you will explore deep learning, and more. By the end of this book, you will be able to perform machine learning with R in the cloud using AWS in various scenarios with different datasets. What you will learn
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