Java Data Science Solutions - Big Data and Visualization [Video]

Java Data Science Solutions - Big Data and Visualization [Video]

Rushdi Shams

Explore the power of MLlib, DL4j, Weka, and more
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Video Details

ISBN 13 9781788391535
Course Length 2 hours 30 minutes

Table of Contents

Video Description

If you are looking to build data science models that are good for production, Java has come to the rescue. With the aid of strong libraries such as MLlib, Weka, DL4j, and more, you can efficiently perform all the data science tasks you need to. This course will help you to learn how you can retrieve data from data sources with different level of complexities. You will learn how you could handle big data to extract meaningful insights from data. Later we will dive to visualizing data to uncover trends and hidden relationships. Finally, we will work through unique videos that solve your problems while taking data science to production, writing distributed data science applications, and much more—things that will come in handy at work.

Style and Approach

Keeping in mind the high demand for quality data scientists, we have compiled solutions using core Java as well as well-known, classic, and state-of-the-art data science libraries, written in Java. In this course, we will understand the techniques that are both modern and smart and presented as easy-to-follow solutions for over 50 problems.

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What You Will Learn

  • Use machine learning techniques to learn patterns from data
  • Perform clustering, and feature selection exercises using the Weka machine learning Workbench
  • Learn data import and export, classification, and feature selection using Java Machine Learning (Java-ML) library
  • Learn application of core Java and popular libraries, such as OpenNLP, Stanford CoreNLP, Mallet, and Weka
  • Learn application of big data platforms for machine learning, such as Apache Mahout and Spark-MLib
  • Familiarize yourself with the very basics of deep learning using the Deep Learning for Java (DL4j) library
  • Learn to use GRAL package to generate an appealing and informative display based on data

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Table of Contents

Video Details

ISBN 139781788391535
Course Length2 hours 30 minutes
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