Machine Learning Projects with Java

Learn how to leverage well-proven ML algorithms to solve day-to-day ML problems

About This Video

• Build machine learning projects using Java's extensive library support such as Weka, deeplearning4j, ND4J, and many more
• A practical guide, with a strict focus on case implementations, to creating projects for each machine learning domain
• Solve real-world problems with the help of machine learning with Java ML libraries

In Detail

Developers are worried about using various algorithms to solve different problems. This course is a perfect guide to identifying the best solution to efficiently build machine learning projects for different use cases to solve real-world problems.

In this course, you will learn how to build a model that takes complex feature vector form sensor data and classifies data points into classes with similar characteristics. Then you will predict the price of a house based on historical data. Finally, you will build a Deep Learning model that can guess personality traits using labeled data.

By the end of this course, you will have mastered each machine learning domain and will be able to build your own powerful projects at work.

Audience

This course is for Java developers who now want to extend their skillset in Machine Learning and would like to achieve this with ease using Java.

This course will also appeal to someone who has a basic understanding of ML concepts but now wants to learn how to implement it with Java.