Appendix 1. Other Books You May Enjoy
If you enjoyed this book, you may be interested in these other books by Packt:
Machine Learning with R - Second Edition Brett Lantz
ISBN: 978-1-78439-390-8
- Harness the power of R to build common machine learning algorithms with real-world data science applications
- Get to grips with R techniques to clean and prepare your data for analysis, and visualize your results
- Discover the different types of machine learning models and learn which is best to meet your data needs and solve your analysis problems
- Classify your data with Bayesian and nearest neighbor methods
- Predict values by using R to build decision trees, rules, and support vector machines
- Forecast numeric values with linear regression, and model your data with neural networks
- Evaluate and improve the performance of machine learning models
- Learn specialized machine learning techniques for text mining, social network data, big data, and more
R Deep Learning Essentials Dr. Joshua F. Wiley
ISBN: 978-1-78528-058-0
- Set up the R package H2O to train deep learning models
- Understand the core concepts behind deep learning models
- Use Autoencoders to identify anomalous data or outliers
- Predict or classify data automatically using deep neural networks
- Build generalizable models using regularization to avoid overfitting the training data
