Data Science and Machine Learning with Java

Java is the most used programming language by developers across the world; big data platforms like the Hadoop ecosystem is Java–based, and this presents us to the need for performing data science and artificial intelligence using Java. If you are a Java developer, then this course is your next step on the path to becoming a practitioner in Data Science.

This course teaches you how to perform various data science tasks using Java. You will begin with performing essential tasks such as data cleaning, data manipulation, and data analytics. You will then interact with the data and perform data visualization using various techniques. You will also understand how to select the most appropriate ML algorithms for creating your ML models. Next, you will create deep learning models using the Eclipse Deep Learning 4j Java library. You will learn some of the important concepts for building ML models such as pattern recognition, classification, and regression. Finally, you will implement NLP techniques in building ML and DL models.

Contents and Overview

This training program includes 2 complete courses, carefully chosen to give you the most comprehensive training possible.

In the first course, Hands–On Data Science with Java, you will use efficient Java libraries to simplify your data analysis. You will perform essential tasks such as loading, cleaning, and visualizing your data. You will learn to connect your data with different frameworks, making it easier to analyze small and large data sets. You will also learn to build machine learning models using DeepLearning4j Java library.