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Udemy - Learning Path - Java - Big Data Analysis With Java
TORRENT SUMMARY
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Handle big data and perform visualization techniques to gain deeper insights of your data
What you'll learn
Familiarize with various data pre-processing techniques
Get to know the basics of data analysis and explore how data changes state
Implement statistical data analysis techniques using Java APIs
Work with NoSQL databases
Find out how to clean and make datasets ready so you can acquire actual insights by removing noise and outliers
Develop the skills to use modern machine learning techniques to retrieve information and transform data to knowledge
Perform clustering and feature selection exercises using the Weka machine learning Workbench
Learn application of core Java and popular libraries, such as OpenNLP, Stanford CoreNLP, Mallet, and Weka
Familiarize yourself with the very basics of deep learning using the deep learning for Java (DL4j) library
Requirements
Basic programming knowledge of Java
Basic programming knowledge MySQL
Description
Data analysis is a process for inspecting, consolidating, transforming, and making sense of data in a way that guides the decision-making process. If you're interested to know the statistical data analysis techniques and implement them using the popular Java APIs and libraries, then go for this Learning Path.
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