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Building Machine Learning Solutions with Java
Machine learning has transformed our world, initiating new approaches to software development and applications. As a Java Developer to stay ahead of the upcoming changes we can start with implementing simple machine learning solutions. TensorFlow , Hadoop ,Spark and Kafka provide Java API’s . This path will explore a few useful resources for Java Developers to get started with Machine Learning.
Content in this path
Beginner
Get started with Machine learning using Java. This section will cover topics like Data import and manipulation.
Intermediate
This section will help you choose the appropriate tool for your machine learning solution.
Advanced
In the section you will learn to develop your machine learning workflow using Rapid Miner studio and Weka. These data science platforms are popular for data preparation , machine learning and predictive model deployment.
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What You'll Learn
- Exploring Java Machine Learning Environments
- Implementing Machine Learning workflow with RapidMiner
- Implementing Machine Learning workflow with Weka
- Preparing Data for Machine Learning with Java
- Java Fundamentals
- Data Analytics Literacy
- Statistics
- Machine Learning Literacy
- Data Transformation
- Statistics
- Machine Learning
- Java
- Weka
- Rapidminer
- DL4J
- Spark MLlib
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