R Machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5 [E-Book] / Dr. Sunil Kumar Chinnamgari.
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 intell...
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Full text |
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Personal Name(s): | Chinnamgari, Sunil Kumar, author |
Edition: |
1st edition |
Imprint: |
[Birmingham] :
Packt Publishing,
2019
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Physical Description: |
325 pages (online resource) |
Note: |
englisch |
ISBN: |
9781789806090 9781789807943 |
Subject (ZB): | |
Subject (LOC): | |
Classification: |
- R Machine learning projects : implement supervised, unsupervised, and reinforcement learning techniques using R 3.5
- Contributors
- Table of Contents
- Preface
- Chapter 1: Exploring the Machine Learning Landscape
- Chapter 2: Predicting Employee Attrition Using Ensemble Models
- Chapter 3: Implementing a Jokes Recommendation Engine
- Chapter 4: Sentiment Analysis of Amazon Reviews with NLP
- Chapter 5: Customer Segmentation Using Wholesale Data
- Chapter 6: Image Recognition Using Deep Neural Networks
- Chapter 7: Credit Card Fraud Detection Using Autoencoders
- Chapter 8: Automatic Prose Generation with Recurrent Neural Networks
- Chapter 9: Winning the Casino Slot Machines with Reinforcement Learning
- The Road Ahead
- Other Books You May Enjoy
- Index.