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Machine Learning 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.

Availability
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Information Technology 006.31/RAM/IT0697
IT0697
Available
Detail Information
Series Title
-
Call Number
006.31/RAM/IT0697
Publisher
New York : Springer Science Buiness Mind.,
Collation
-
Language
English
ISBN/ISSN
978-1-484-24762-4
Classification
NONE
Content Type
-
Media Type
-
Carrier Type
-
Edition
Second Edition
Subject(s)
Programming
IT
Specific Detail Info
-
Statement of Responsibility
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No other version available

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