Each chapter contains a small section dedicated to the formulation of the algorithms for those interested in the mathematical concepts behind the science and art of machine learning. These sections are optional and defined within a tip box. For example, the mathematical expression of the mean and the variance of a variable X mentioned in a tip box will be as follows:
Scala for Machine Learning
By :
Scala for Machine Learning
By:
Overview of this book
Table of Contents (20 chapters)
Scala for Machine Learning
Credits
About the Author
About the Reviewers
www.PacktPub.com
Preface
Free Chapter
Getting Started
Hello World!
Data Preprocessing
Unsupervised Learning
Naïve Bayes Classifiers
Regression and Regularization
Sequential Data Models
Kernel Models and Support Vector Machines
Artificial Neural Networks
Genetic Algorithms
Reinforcement Learning
Scalable Frameworks
Basic Concepts
Index
Customer Reviews