Descriptions
Building Machine Learning Solutions with Java. Machine learning has changed our world and initiated new approaches to software development and applications. To stay ahead of the upcoming changes as Java developers, we can start implementing simple machine learning solutions. TensorFlow, Hadoop, Spark and Kafka provide Java APIs. Along the way, we will introduce some useful resources for Java developers to get started with machine learning. receive started with machine learning using Java. This section covers topics such as data import and manipulation. The This section will help you choose the right tool for your machine learning solution. In The In the section, you will learn how to develop your machine learning workflow using Rapid Miner Studio and Weka. These data science platforms are popular for data preparation, machine learning, and deploying predictive models.
What you will learn
- explore Java Machine Learning Environments
- implementation Machine learning workflow with RapidMiner
- implementation Machine learning workflow with Weka
- prepare Data for machine learning with Java
Specifying the development of machine learning solutions using Java
- Publisher : Plural view
- Teacher: Federico Mestrone
- Language: English
- Level: All levels
- Number of courses:
- Duration: 8 hours and 4 minutes
Contents of “Building Machine Learning Solutions with Java”.
Requirements
- Java Basics
- Data Analytical competence
- statistics
- machine Learning literacy
Pictures
Sample clip
installation Guide
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Subtitles: English
Quality: 720p
Download links
Password file(s): free download software
File size
1.36GB