Exploring Java Machine Learning Environments

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Nicolae Caprarescu

1:26:42

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1. Course Overview

1. Course Overview.mp4

02:00

2. Understanding the Java Machine Learning Ecosystem

1. Version Check.mp4

00:10

2. Introduction.mp4

04:23

3. Demo - Weka Showcase.mp4

04:45

4. Demo - Deeplearning4j (DL4J) Showcase.mp4

04:33

5. Demo - Spark MLlib Showcase.mp4

03:56

6. Summary.mp4

01:55

3. Implementing a Machine Learning Workflow with Weka

1. Introduction.mp4

04:24

2. Demo - Data Preparation and Loading with Programmatic Weka.mp4

03:28

3. Demo - Data Preprocessing with Programmatic Weka.mp4

01:34

4. Demo - Implementing K-means with Programmatic Weka.mp4

01:14

5. Demo - Evaluation and Visualization with Programmatic Weka.mp4

04:38

6. Demo - The Full Workflow in One Go with Weka GUI.mp4

04:17

7. Summary.mp4

00:44

4. Implementing a Machine Learning Workflow with DL4J

1. Introduction.mp4

05:20

2. Demo - Data Preparation and Loading with DL4J (Part 1 - Setup).mp4

04:29

4. Demo - Data Preprocessing with DL4J.mp4

08:33

5. Demo - Implementing a Twitter Sentiment Classifier with DL4J.mp4

05:01

6. Demo - Performance and Evaluation and Visualization with DL4J.mp4

02:04

7. Summary.mp4

00:50

5. Implementing a Machine Learning Workflow with Spark MLlib

1. Introduction.mp4

04:18

2. Demo - Data Preparation and Loading with Spark MLlib.mp4

05:02

3. Demo - Data Preprocessing with Spark MLlib.mp4

06:14

4. Demo - Implementing an Image Classifier with Spark MLlib.mp4

02:11

6. Summary.mp4

00:39

Description

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.

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.

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Java

Machine Learning

Nicolae Caprarescu

Instructor's Courses

Now an independent consultant, Nicolae started his career in 2013 as a software engineer. Over the years, Nicolae worked on systems ranging from high-frequency Java trading engines to various apps for startups. Nicolae's technical roles have always been full-stack, most often focusing on Java back-ends and web-based front-ends: Java, Spring, JDBC, SQL, Maven, Gradle, TeamCity, Jenkins, TDD, JUnit, mocking, automated testing, JavaScript, Selenium and RESTful. Nicolae's technical interests include machine learning, software architecture, and finding the right balance between the usage of statically typed languages versus dynamically typed languages. Nicolae also enjoys making teams run efficiently by embracing Agile values and instilling them in any team he can. Nicolae holds a First Class Bachelor's degree in Computer Science from The University of Manchester, where he discovered his passion for teaching while mentoring other students. Nicolae also enjoys traveling and motorsports.

Pluralsight

View courses Pluralsight

Pluralsight, LLC is an American privately held online education company that offers a variety of video training courses for software developers, IT administrators, and creative professionals through its website. Founded in 2004 by Aaron Skonnard, Keith Brown, Fritz Onion, and Bill Williams, the company has its headquarters in Farmington, Utah. As of July 2018, it uses more than 1,400 subject-matter experts as authors, and offers more than 7,000 courses in its catalog. Since first moving its courses online in 2007, the company has expanded, developing a full enterprise platform, and adding skills assessment modules.