Book Image

R Machine Learning Projects

By : Dr. Sunil Kumar Chinnamgari
Book Image

R Machine Learning Projects

By: Dr. Sunil Kumar Chinnamgari

Overview of this book

R is one of the most popular languages when it comes to performing computational statistics (statistical computing) easily and exploring the mathematical side of machine learning. With this book, you will leverage the R ecosystem to build efficient machine learning applications that carry out intelligent tasks within your organization. This book will help you test your knowledge and skills, guiding you on how to build easily through to complex machine learning projects. You will first learn how to build powerful machine learning models with ensembles to predict employee attrition. Next, you’ll implement a joke recommendation engine and learn how to perform sentiment analysis on Amazon reviews. You’ll also explore different clustering techniques to segment customers using wholesale data. In addition to this, the book will get you acquainted with credit card fraud detection using autoencoders, and reinforcement learning to make predictions and win on a casino slot machine. By the end of the book, you will be equipped to confidently perform complex tasks to build research and commercial projects for automated operations.
Table of Contents (12 chapters)
The Road Ahead

Multi-arm bandit – real-world use cases

We encounter so many situations in the real world that are similar to that of the MABP we reviewed in this chapter. We could apply RL strategies to all these situations. The following are some of the real-world use cases similar to that of the MABP:

  • Finding the best medicine/s among many alternatives
  • Identifying the best product to launch among possible products
  • Deciding the amount of traffic (users) that we need to allocate for each website
  • Identifying the best marketing strategy for launching a product
  • Identifying the best stocks portfolio to maximize profit
  • Finding out the best stock to invest in
  • Figuring out the shortest path in a given map
  • Click-through rate prediction for ads and articles
  • Predicting the most beneficial content to be cached at a router based upon the content of articles
  • Allocation of funding for different departments...