Exploring Java Machine Learning Environments

سرفصل های دوره

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.

1. Course Overview

1. Course Overview

2. Understanding the Java Machine Learning Ecosystem

1. Version Check

2. Introduction

3. Demo - Weka Showcase

4. Demo - Deeplearning4j (DL4J) Showcase

5. Demo - Spark MLlib Showcase

6. Summary

3. Implementing a Machine Learning Workflow with Weka

1. Introduction

2. Demo - Data Preparation and Loading with Programmatic Weka

3. Demo - Data Preprocessing with Programmatic Weka

4. Demo - Implementing K-means with Programmatic Weka

5. Demo - Evaluation and Visualization with Programmatic Weka

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

7. Summary

4. Implementing a Machine Learning Workflow with DL4J

1. Introduction

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

4. Demo - Data Preprocessing with DL4J

5. Demo - Implementing a Twitter Sentiment Classifier with DL4J

6. Demo - Performance and Evaluation and Visualization with DL4J

7. Summary

5. Implementing a Machine Learning Workflow with Spark MLlib

1. Introduction

2. Demo - Data Preparation and Loading with Spark MLlib

3. Demo - Data Preprocessing with Spark MLlib

4. Demo - Implementing an Image Classifier with Spark MLlib

6. Summary

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تولید کننده: PluralSight