Machine Learning Using R, 2nd Edition
With Time Series and IndustryBased Use Cases in R
Price  $31.74  $35.38

Rating  
Authors  Karthik Ramasubramanian, Abhishek Singh 
Publisher  Apress 
Published  2019 
Pages  700 
Language  English 
Format  Paper book / ebook (PDF) 
ISBN10  1484242149 
ISBN13  9781484242148 
Examine the latest technological advancements in building a scalable machinelearning model with big data using R. This second edition shows you how to work with a machinelearning 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 realworld usecases which gives you a comprehensive collection of topics in machine learning. New chapters in this edition cover time series models and deep learning.
Understand machine learning algorithms using R; Master the process of building machinelearning models; Cover the theoretical foundations of machinelearning algorithms; See industry focused realworld use cases; Tackle time series modeling in R; Apply deep learning using Keras and TensorFlow in R.
 Karthik Ramasubramanian
 Abhishek Singh
2 5 2
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