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Exploring Java Machine Learning Environments

There are an increasing number of tools for Machine Learning in Java. This course will teach you how to choose the appropriate tool for your machine learning task, as well as how to get started with the tool and how to use it.

Nicolae Caprarescu - Pluralsight course - Exploring Java Machine Learning Environments
by Nicolae Caprarescu

What you'll learn

Choosing the right tool for a machine learning problem among the myriad options is not easy. In this course, Exploring Java Machine Learning Environments, you’ll learn to assess, identify, and use the right tool for the job. First, you’ll explore several characteristics of the available tools for machine learning in Java. Next, you’ll discover the pros and cons of each tool depending on multiple scenarios. Finally, you’ll learn how to get started with each of the tools, consuming data, training a model, evaluating and visualizing the performance in different environments and at different scales. When you’re finished with this course, you’ll have the skills and knowledge of the Machine Learning Java Environment needed to effectively implement industry-grade pipelines.

Table of contents

About the author

Nicolae Caprarescu - Pluralsight course - Exploring Java Machine Learning Environments
Nicolae Caprarescu

Nicolae has been a Software Engineer since 2013, focusing on Java and web stacks. Nicolae holds a degree in Computer Science and enjoys teaching, traveling and motorsports.

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