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

Machine Learning Using R

- With Time Series and Industry-Based Use Cases in R
Engelsk Paperback

524 kr
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23 - 25 hverdage

Om denne bog

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.







Product detaljer
Sprog:
Engelsk
Sider:
700
ISBN-13:
9781484242148
Indbinding:
Paperback
Udgave:
ISBN-10:
1484242149
Kategori:
Udg. Dato:
13 dec 2018
Længde:
44mm
Bredde:
186mm
Højde:
266mm
Forlag:
APress
Oplagsdato:
13 dec 2018
Oversætter:
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