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Machine Learning Using R

Language EnglishEnglish
Book Paperback
Book Machine Learning Using R Karthik Ramasubramanian
Libristo code: 20331522
Publishers APress, December 2018
Examine the latest technological advancements in building a scalable machine-learning model with big... Full description
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Examine the latest technological advancements in building a scalable machine-learning model with big data using R. This second edition shows you how to work with a machine-learning algorithm and use it to build a ML model from raw data. You will see how to use R programming with TensorFlow, thus avoiding the effort of learning Python if you are only comfortable with R. As in the first edition, the authors have kept the fine balance of theory and application of machine learning through various real-world use-cases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning. What You'll Learn Understand machine learning algorithms using R Master the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithms See industry focused real-world use cases Tackle time series modeling in R Apply deep learning using Keras and TensorFlow in R Who This Book is For Data scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using R.

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About the book

Full name Machine Learning Using R
Language English
Binding Book - Paperback
Date of issue 2018
Number of pages 700
EAN 9781484242148
ISBN 9781484242148
Libristo code 20331522
Publishers APress
Weight 1344
Dimensions 186 x 266 x 44
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