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Machine Learning Projects with Java
Learn how to leverage well-proven ML algorithms to solve day-to-day ML problems.
This Course Includes
udemy
5 (12 reviews )
2h 11m 
english
Online - Self Paced
professional certificate
Udemy
About Machine Learning Projects with Java
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.
About The Author
Tomasz Lelek
is a Software Engineer, programming mostly in Java, Scala. He has worked with ML algorithms for the past 5 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 solving a problem. Recently he was a speaker at conferences in Poland, Confitura and JDD (Java Developers Day), and also at Krakow Scala User Group. He has also conducted a live coding session at Geecon Conference.
What You Will Learn?
- Perform classification using the Weka Library. .
- Implement Pattern Recognition of non-labeled data .
- Build Regression models for data with multiple features .
- Save trained models for further reusability .
- Learn how to perform cross-validation .
- Leverage Deep Learning in ML problems .
- Implement Natural Language Processing with Deep Learning.