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Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition

(ebook) (audiobook) (audiobook) Książka w języku 1
Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition Cory Lesmeister - okladka książki

Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition Cory Lesmeister - okladka książki

Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition Cory Lesmeister - audiobook MP3

Mastering Machine Learning with R. Advanced machine learning techniques for building smart applications with R 3.5 - Third Edition Cory Lesmeister - audiobook CD

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Given the growing popularity of the R-zerocost statistical programming environment, there has never been a better time to start applying ML to your data. This book will teach you advanced techniques in ML ,using? the latest code in R 3.5. You will delve into various complex features of supervised learning, unsupervised learning, and reinforcement learning algorithms to design efficient and powerful ML models.

This newly updated edition is packed with fresh examples covering a range of tasks from different domains. Mastering Machine Learning with R starts by showing you how to quickly manipulate data and prepare it for analysis. You will explore simple and complex models and understand how to compare them. You’ll also learn to use the latest library support, such as TensorFlow and Keras-R, for performing advanced computations. Additionally, you’ll explore complex topics, such as natural language processing (NLP), time series analysis, and clustering, which will further refine your skills in developing applications. Each chapter will help you implement advanced ML algorithms using real-world examples. You’ll even be introduced to reinforcement learning, along with its various use cases and models. In the concluding chapters, you’ll get a glimpse into how some of these blackbox models can be diagnosed and understood.

By the end of this book, you’ll be equipped with the skills to deploy ML techniques in your own projects or at work.

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O autorze książki

Cory Lesmeister has over fourteen years of quantitative experience and is currently a senior data scientist for the advanced analytics team at Cummins, Inc. in Columbus, Indiana. He has spent 16 years at Eli Lilly and Company in sales, market research, Lean Six Sigma, marketing analytics, and new product forecasting. He also has several years of experience in the insurance and banking industries, both as a consultant and as a manager of marketing analytics. A former US Army active duty and reserve officer, Cory was stationed in Baghdad, Iraq, in 2009. Here, he served as the strategic advisor to the 29,000-person Iraqi Oil Police, succeeding where others failed by acquiring and delivering promised equipment to help the country secure and protect its oil infrastructure. He has a BBA in aviation administration from the University of North Dakota and a commercial helicopter license.

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