Java: Data Science Made Easy by Reese Richard M. & Reese Jennifer L. & Grigorev Alexey

Author:Reese, Richard M. & Reese, Jennifer L. & Grigorev, Alexey [Reese, Richard M.]
Language: eng
Format: azw3
Tags: COM062000 - COMPUTERS / Data Modeling and Design, COM018000 - COMPUTERS / Data Processing, COM021030 - COMPUTERS / Databases / Data Mining
Publisher: Packt Publishing
Published: 2017-07-07T04:00:00+00:00

Module 2

Mastering Java for Data Science

Building Data Science Applications in Java

Data Science Using Java

This book is about building data science applications using the Java language. In this book, we will cover all the aspects of implementing projects from data preparation to model deployment.

The readers of this book are assumed to have some previous exposure to Java and data science, and the book will help to take this knowledge to the next level. This means learning how to effectively tackle a specific data science problem and get the most out of the available data.

This is an introductory chapter where we will prepare the foundation for all the other chapters. Here we will cover the following topics:

What is machine learning and data science?

Cross Industry Standard Process for Data Mining (CRIPS-DM), a methodology for doing data science projects

Machine learning libraries in Java for medium and large-scale data science applications

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