Machine Learning in Java - Second Edition

What this book covers

Chapter 1, Applied Machine Learning Quick Start, introduces the field of natural language processing (NLP). The tools and basic techniques that support NLP are discussed. The use of models, their validation, and their use from a conceptual perspective are presented.

Chapter 2, Java Libraries and Platforms for Machine Learning, covers the purpose and uses of tokenizers. Different tokenization processes will be explored, followed by how they can be used to solve specific problems.

Chapter 3, Basic Algorithms – Classification, Regression, and Clustering, covers the problems associated with sentence detection. Correct detection of the end of sentences is important for many reasons. We will examine different approaches to ...