Description
Building Machine Learning Solutions with Java, the training course on building machine learning solutions with Java is published by Pluralsight Academy. Machine learning has transformed our world and started new approaches to developing software and applications. As a Java developer, to stay ahead of the upcoming changes, we can start by implementing simple machine learning solutions. TensorFlow, Hadoop, Spark and Kafka have provided API for Java. Along the way, we’ll look at some useful resources for Java developers to get started with machine learning. Get started with machine learning using Java. The first part will cover topics like data entry and manipulation. The next section will help you choose the right tool for your machine learning solution. In this section, you will learn to develop your own machine learning workflow using Rapid Miner studio and Weka. These data science platforms are popular for data preparation, machine learning and predictive model development.
What you will learn
- Examining Java Machine Learning Environments
- Implementing machine learning workflows with RapidMiner
- Implementing machine learning workflows with Weka
- Data preparation for machine learning with Java
Building Machine Learning Solutions with Java course specifications
- Publisher: Pluralsight
- teacher : Federico Mestreno
- English language
- Education level: all levels
- Number of courses: 4
- Training duration: 8 hours and 4 minutes
Chapters of the Building Machine Learning Solutions with Java course
Course prerequisites
- Java Fundamentals
- Data Analytics Literacy
- Statistics
- Machine Learning Literacy
Pictures
Sample video
Installation guide
After Extract, view with your favorite Player.
English subtitle
Quality: 720p
download link
File(s) password: www.downloadly.ir
Size
1.36 GB
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