Machine Learning Using R, 2nd Edition

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R, 2nd Edition

eBook Details:

  • Paperback: 700 pages
  • Publisher: WOW! eBook; 2nd edition (December 13, 2018)
  • Language: English
  • ISBN-10: 1484242149
  • ISBN-13: 978-1484242148

eBook Description:

Machine Learning Using R: With Time Series and Industry-Based Use Cases in R

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.

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

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.

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