Machine Learning Using R

 

In the second edition of Machine Learning Using R, we added a new chapter on time series modeling (Chapter 9), a traditional topic that has its genesis from statistics. The Second newly added chapter is deep learning (Chapter 11), which is fast emerging as a sub-field of machine learning. Apart from these two new chapters, the overall presentation of text and code in the book is put out in a new reader-friendly format.

The new edition continues to focus on building the use cases using R, a popular statistical programming language. For topics like deep learning, it might be advised to adopt Python with frameworks like TensorFlow. However, in this new edition, we will show you how to use the R programming language with TensorFlow, hence avoiding the effort of learning Python if you are only comfortable with R.

Like in the first edition, we have kept the fine balance of theory and application of machine learning through various real-world use cases, which give the readers a truly comprehensive collection of topics in machine leaning in one volume.

What you’ll learn:

• Understand machine learning algorithms using R

• Master a machine learning model building a process flow

• Theoretical foundations of machine learning algorithms

• Industry focused real-world use cases

• Time series modeling in R

• Deep learning using Keras and TensorFlow in R

Who This Book is For

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. The book will also benefit readers who want to understand the technology behind implementing a scalable machine learning model using Apache Hadoop, Hive, Pig, and Spark.

This book is a comprehensive guide for anybody who wants to understand the machine learning model building process from end to end, including:

• Practical demonstration of concepts in R

• Machine learning models using Apache Hadoop and Spark

• Time series analysis

• Introduction to deep learning models using Keras and TensorFlow using R

https://drive.google.com/file/d/1Tns78ys_Xz1_CMtJEHU5Irkechob4e6n/view?usp=drivesdk