Java Data Science Solutions - Big Data and Visualization [Video]
Packt Publishing
Summary
Overview
Explore the power of MLlib, DL4j, Weka, and more.
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.
Description
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
Authors - Rushdi Shams
Rushdi Shams has a Ph.D. on Application of machine learning in Natural Language Processing (NLP) problem areas from Western University, Canada. Before starting work as a machine learning and NLP specialist in the industry, he was engaged in teaching undergrad and grad courses. He has been successfully maintaining his YouTube channel named "Learn with Rushdi" for learning computer technologies.
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Legal information
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FAQs
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