If you enjoyed this book, you may be interested in these other books by Packt:
Statistics for Machine Learning Pratap Dangeti
ISBN: 978-1-78829-575-8
- Learn how to clean your data and ready it for analysis
- Understand the Statistical and Machine Learning fundamentals necessary to build models
- Understand the major differences and parallels between the statistical way and the Machine Learning way to solve problems
- Learn how to prepare data and feed models by using the appropriate Machine Learning algorithms from the more-than-adequate R and Python packages
- Analyze the results and tune the model appropriately to your own predictive goals
- Understand the concepts of required statistics for Machine Learning
- Introduce yourself to necessary fundamentals required for building supervised & unsupervised deep learning models
- Learn reinforcement learning and its application in the field of artificial intelligence domain
Machine Learning Algorithms Giuseppe Bonaccorso
ISBN: 978-1-78588-962-2
- Acquaint yourself with important elements of Machine Learning
- Understand the feature selection and feature engineering process
- Assess performance and error trade-offs for Linear Regression
- Build a data model and understand how it works by using different types of algorithm
- Learn to tune the parameters of Support Vector machines
- Implement clusters to a dataset
- Explore the concept of Natural Processing Language and Recommendation Systems
- Create a ML architecture from scratch