Machine Learning Projects with Java (v): Build real-world projects and models, and train them via machine learning algorithms using Java

Tomasz Lelek

S$186.99

5 (1 Ratings)

Video Mar 2019 2hrs 12mins 1st Edition

Tomasz Lelek

S$186.99

5 (1 Ratings)

Video Mar 2019 2hrs 12mins 1st Edition

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Key benefits

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

Description

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. All the resource files are uploaded on the GitHub repository at https://github.com/PacktPublishing/Machine-Learning-Projects-with-Java

Who is this book for?

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.