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

By: Abhishek Singh (Author) , Karthik Ramasubramanian (Author)

Extended Catalogue

Ksh 12,550.00

Format: Paperback or Softback

ISBN-10: 1484242149

ISBN-13: 9781484242148

Edition statement: Second Edition

Publisher: APress

Imprint: APress

Country of Manufacture: US

Country of Publication: GB

Publication Date: Dec 13th, 2018

Publication Status: Active

Product extent: 700 Pages

Weight: 1344.00 grams

Dimensions (height x width x thickness): 26.60 x 18.60 x 4.40 cms

Product Classification / Subject(s): Program concepts / learning to program
Programming & scripting languages: general
Machine learning

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  • Description

  • Reviews

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 RMaster the process of building machine-learning models Cover the theoretical foundations of machine-learning algorithmsSee industry focused real-world use casesTackle time series modeling in RApply deep learning using Keras and TensorFlow in RWho This Book is ForData scientists, data science professionals, and researchers in academia who want to understand the nuances of machine-learning approaches/algorithms in practice using 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.

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.

Get Machine Learning Using R by at the best price and quality guranteed only at Werezi Africa largest book ecommerce store. The book was published by APress and it has pages. Enjoy Shopping Best Offers & Deals on books Online from Werezi - Receive at your doorstep - Fast Delivery - Secure mode of Payment

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