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  3. Machine learning

Machine Learning Using R

- With Time Series and Industry-Based Use Cases in R
Af: Abhishek Singh, Karthik Ramasubramanian Engelsk Paperback

Machine Learning Using R

- With Time Series and Industry-Based Use Cases in R
Af: Abhishek Singh, Karthik Ramasubramanian Engelsk Paperback
Tjek vores konkurrenters priser

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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Tjek vores konkurrenters priser
Normalpris
kr 573
Fragt: 39 kr
6 - 8 hverdage
20 kr
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God 4 anmeldelser på
Tjek vores konkurrenters priser

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.

Vis mere
Se mere i:
Produktdetaljer
Sprog: Engelsk
Sider: 700
ISBN-13: 9781484242148
Indbinding: Paperback
Udgave:
ISBN-10: 1484242149
Kategori: Machine learning
Udg. Dato: 13 dec 2018
Længde: 44mm
Bredde: 186mm
Højde: 266mm
Forlag: APress
Oplagsdato: 13 dec 2018
Forfatter(e): Abhishek Singh, Karthik Ramasubramanian
Forfatter(e) Abhishek Singh, Karthik Ramasubramanian

Kategori Machine learning

ISBN-13 9781484242148

Sprog Engelsk

Indbinding Paperback

Sider 700

Udgave

Længde 44mm

Bredde 186mm

Højde 266mm

Udg. Dato 13 dec 2018

Oplagsdato 13 dec 2018

Forlag APress

Kategori sammenhænge