Machine learning using R : with time series and industry-based uses in 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 avo...

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Bibliographic Details
Main Authors Ramasubramanian, Karthik (Author), Singh, Abhishek, 1976- (Author)
Format Electronic eBook
LanguageEnglish
Published [New York, New York] : Apress, [2019]
EditionSecond edition.
Subjects
Machine learning.
R (Computer program language)
elektronické knihy
electronic books
Online AccessFull text
ISBN9781484242155
1484242157
9781484242148
1484242149
Physical Description1 online resource (xxiv, 700 pages)

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TOC from ObalkyKnih.cz
Table of Contents:
  • Chapter 1: Introduction to Machine Learning and R
  • Chapter 2: Data Exploration and Preparation
  • Chapter 3: Sampling and Resampling Techniques
  • Chapter 4: Data Visualization in R
  • Chapter 5: Feature Engineering
  • Chapter 6: Machine Learning Theory and Practice
  • Chapter 7: Machine Learning Model Evaluation
  • Chapter 8: Model Performance Improvement
  • Chapter 9: Time Series Modelling
  • Chapter 10: Scalable Machine Learning and related technology
  • Chapter 11: Deep Learning Models using Keras and TensorFlow.

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