Practical Java Machine Learning Projects with Google Cloud Platform and Amazon Web Services /

• Main Author: Wickham, Mark (Author, http://id.loc.gov/vocabulary/relators/aut)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: Berkeley, CA : Apress : Imprint: Apress, 2018.
• Edition: 1st ed. 2018.
• Subjects: Java (Computer program language).; Artificial intelligence.; Programming languages (Electronic computers).; Java.; Artificial Intelligence.; Programming Languages, Compilers, Interpreters.

Build machine learning (ML) solutions for Java development. This book shows you that when designing ML apps, data is the key driver and must be considered throughout all phases of the project life cycle. Practical Java Machine Learning helps you understand the importance of data and how to organize...

Table of Contents:

• 1. Introduction
• 2. Data: The Fuel for Machine Learning
• 3. Leveraging Cloud Platforms
• 4. Algorithms: The Brains of Machine Learning
• 5. Java Machine Learning Environments
• 6. Integrating Models.