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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.
This Course Includes
pluralsight
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1 hour 36 minutes 
english
Online - Self Paced
core courses
pluralsight
About Exploring Java Machine Learning Environments
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.
What You Will Learn?
- Course Overview : 2mins.
- Understanding the Java Machine Learning Ecosystem : 19mins.
- Implementing a Machine Learning Workflow with Weka : 20mins.
- Implementing a Machine Learning Workflow with DL4J : 33mins.
- Implementing a Machine Learning Workflow with Spark MLlib : 20mins.