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.
Author(s): Karthik Ramasubramanian, Abhishek Singh
Publisher: Apress
Year: 2019
Language: English
Pages: 712
Tags: Statistics, Machine Learning, R
Front Matter ....Pages i-xxiv
Introduction to Machine Learning and R (Karthik Ramasubramanian, Abhishek Singh)....Pages 1-33
Data Preparation and Exploration (Karthik Ramasubramanian, Abhishek Singh)....Pages 35-77
Sampling and Resampling Techniques (Karthik Ramasubramanian, Abhishek Singh)....Pages 79-150
Data Visualization in R (Karthik Ramasubramanian, Abhishek Singh)....Pages 151-209
Feature Engineering (Karthik Ramasubramanian, Abhishek Singh)....Pages 211-251
Machine Learning Theory and Practice (Karthik Ramasubramanian, Abhishek Singh)....Pages 253-481
Machine Learning Model Evaluation (Karthik Ramasubramanian, Abhishek Singh)....Pages 483-531
Model Performance Improvement (Karthik Ramasubramanian, Abhishek Singh)....Pages 533-593
Time Series Modeling (Karthik Ramasubramanian, Abhishek Singh)....Pages 595-627
Scalable Machine Learning and Related Technologies (Karthik Ramasubramanian, Abhishek Singh)....Pages 629-665
Deep Learning Using Keras and TensorFlow (Karthik Ramasubramanian, Abhishek Singh)....Pages 667-688
Back Matter ....Pages 689-700