Machine Learning Projects with Java
Build real-world projects and models, and train them via machine learning algorithms using Java
Created by Tomasz Lelek
Explore practical machine learning with Java by building real-world models for classification, regression, and deep learning. Tackle hands-on projects that use real data to solve problems like predicting house prices and analyzing personality traits.
Packt | Mar 2019 | 132 min
What You Will Learn
You will work through a series of hands-on projects, each focused on a specific machine learning challenge. By applying Java libraries like Weka and deeplearning4j, you will learn to build, train, and evaluate models using real datasets. Each project builds your skills step by step.
Key Features
- Classify complex sensor data using Java libraries for accurate predictions
- Build regression models to forecast outcomes such as housing prices
- Apply deep learning to analyze labeled data and uncover hidden patterns
Target Audience
Ideal for Java developers with a basic understanding of machine learning concepts who want to apply these skills in practical scenarios. If you are looking to expand your Java expertise into building and deploying machine learning models, this course is designed for you.
