Machine Learning Projects with Java [Video]

5 (1 reviews total)
By Tomasz Lelek
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About this video

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.

Style and Approach

This is a step-by-step and fast-paced guide that will help you learn different ML techniques you can use to solve real-world problems, Every section will tackle a practical problem and take your ML skills to the next level

Publication date:
March 2019
Publisher
Packt
Duration
2 hours 12 minutes
ISBN
9781789612455

About the Author

  • Tomasz Lelek

    Tomasz Lelek is a software engineer, programming mostly in Java and Scala. He has been working with the Spark and ML APIs for the past 6 years, with production experience in processing petabytes of data. He is passionate about nearly everything associated with software development and believes that we should always try to consider different solutions and approaches before attempting to solve a problem. Recently, he was also a speaker at conferences in Poland—Confitura, and JDD (Java Developers Day) and at Krakow Scala User Group. He has also conducted a live coding session at the Geecon Conference.

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Latest Reviews

(1 reviews total)
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