Packt+ | Advance your knowledge in tech

0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Java Data Science Cookbook

You're reading from Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

Product type Paperback

Published in Mar 2017

Publisher Packt

ISBN-13 9781787122536

Length 372 pages

Edition 1st Edition

Languages

Java

Tools

Weka

Concepts

Data Analysis

Author (1):

Rushdi Shams

View More author details

Table of Contents (10) Chapters

Preface

1. Obtaining and Cleaning Data FREE CHAPTER

2. Indexing and Searching Data

3. Analyzing Data Statistically

4. Learning from Data - Part 1

5. Learning from Data - Part 2

6. Retrieving Information from Text Data

7. Handling Big Data

8. Learn Deeply from Data

9. Visualizing Data

Plotting a 2D sine graph

In this recipe, we will use a free Java graph library named GRAphing Library (GRAL) to plot a 2D sine graph. On many occasions, sine graphs can be particularly useful for data scientists since they are a trigonometric graph that can be used to model fluctuations in data (for example, using temperature data to create a model that predicts the times during the year that a location would be pleasant to visit).

Getting ready

To use GRAL in your project, you need to download the GRAL JAR file and include it in your project as an external Java library. To download the Jar file, go to http://trac.erichseifert.de/gral/wiki/Download and download GRAL JAR file version 0.10 from the legacy version section. The file that you are going to download is a zip file named gral-core-0.10.zip:

Once you download the file, extract the files and you will see the files and folders in the distributions. Among them, you will find a folder named lib, which is the folder of interest.
Go to...

The rest of the chapter is locked

Register for a free Packt account to unlock a world of extra content!

A free Packt account unlocks extra newsletters, articles, discounted offers, and much more. Start advancing your knowledge today.

Unlock this book and the full library FREE for 7 days

Get unlimited access to 7000+ expert-authored eBooks and videos courses covering every tech area you can think of

Start free trial

Renews at $19.99/month. Cancel anytime

Authors (1)

Shams

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.

See other products by Shams

Other recommended products

Related to this chapter

Machine Learning in Java

Machine Learning in Java

Machine Learning in Java will provide you with the techniques and tools you need to quickly gain insight from complex data. You will start by learning how to apply machine learning methods to a variety of common tasks including classification, prediction, forecasting, market basket analysis, and clustering.

Nov 2018 10h 0m

Hands-On Artificial Intelligence with Java for Beginners

Hands-On Artificial Intelligence with Java for Beginners

This book will introduce the AI algorithms to the beginners and will take on implementing AI tasks using various Java-based libraries. It will take a practical approach to get you up and running with building smarter applications using Java programming knowledge.

Aug 2018 4h 48m

Hands-On Artificial Intelligence with Java for Beginners

Hands-On Artificial Intelligence with Java for Beginners

This book will introduce the AI algorithms to the beginners and will take on implementing AI tasks using various Java-based libraries. It will take a practical approach to get you up and running with building smarter applications using Java programming knowledge.

Aug 2018 4h 48m

Hands-On Artificial Intelligence with Java for Beginners

Hands-On Artificial Intelligence with Java for Beginners

This book will introduce the AI algorithms to the beginners and will take on implementing AI tasks using various Java-based libraries. It will take a practical approach to get you up and running with building smarter applications using Java programming knowledge.

Aug 2018 4h 48m

Natural Language Processing with Java

Natural Language Processing with Java

Natural Language Processing with Java will explore how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. You will leverage the power of Java to extract relationships within different elements of text and documents.

Jul 2018 10h 36m

Natural Language Processing with Java

Natural Language Processing with Java

Natural Language Processing with Java will explore how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. You will leverage the power of Java to extract relationships within different elements of text and documents.

Jul 2018 10h 36m

Natural Language Processing with Java

Natural Language Processing with Java

Natural Language Processing with Java will explore how to automatically organize text using approaches such as full-text search, proper name recognition, clustering, tagging, information extraction, and summarization. You will leverage the power of Java to extract relationships within different elements of text and documents.

Jul 2018 10h 36m

Java for Data Science

Java for Data Science

Harness the incredible power of Java-based approaches to data science and create new, innovative applications to explore, visualise and analyse big data. With its tutorial approach and step-by-step instructional style, Java for Data Science is the ultimate data science book for Java developers interested in Java-based data science solutions.

Jan 2017 12h 52m

Mastering Java for Data Science

Mastering Java for Data Science

Java is the most wide-spread programming language nowadays, and you fill find it everywhere, from small startup companies to large enterprises. It is also a common choice for developing Data Science applications thanks to Java's prevalence and rich data processing toolbox. This book will explain how to use Java for Data Science, overview the available Machine Learning libraries, and cover many topics including supervised and unsupervised learning, natural language processing, deep learning, and big data

Apr 2017 12h 8m

Natural Language Processing with Java Cookbook

Natural Language Processing with Java Cookbook

This book will teach you how to perform basic and advanced NLP tasks in Java, using independent recipes. The book not only covers the essential aspects of NLP but also addresses other important areas such as the acquisition of text and techniques for utilizing NLP in varied domains

Apr 2019 12h 52m

Deep Learning with Hadoop

Deep Learning with Hadoop

Feb 2017 6h 52m

Deep Learning with Hadoop

Deep Learning with Hadoop

Feb 2017 6h 52m

Personalised recommendations for you

Based on your interests and search pattern

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Modern Computer Vision with PyTorch

Modern Computer Vision with PyTorch

This book provides a hands-on approach to solving over 30 prominent real-world computer vision problems using PyTorch 2.x on actual datasets. Here you'll learn to build a neural network from scratch and optimize hyperparameters, perform image classification, multi-object detection, segmentation, and more. You'll also explore facial expression manipulation and combining CV with NLP and RL techniques, build generative AI applications, and take your model to production on AWS. By the end of this book, you'll master modern NN architectures and confidently solve real-world CV problems.

Jun 2024 24h 52m

Data Governance Handbook

Data Governance Handbook

This book provides a highly focused view of real business outcomes powered by data governance, that resonate with non-data executives such as CFOs and CEOs. You'll also find useful insights into how to implement data governance initiatives.

May 2024 13h 8m

Data Engineering with Databricks Cookbook

Data Engineering with Databricks Cookbook

This book shows you how to use Apache Spark, Delta Lake, and Databricks to build data pipelines, manage and transform data, optimize performance, and more. Additionally, you'll implement DataOps and DevOps practices, and orchestrate data workflows.

May 2024 14h 36m

Azure Data Engineer Associate Certification Guide

Azure Data Engineer Associate Certification Guide

Unlock the power of Azure data engineering with this certification guide, elevating your skills in data processing, storage, and security with the help of practical insights, hands-on exercises, and the latest advancements.

May 2024 18h 16m

Microsoft Power BI Cookbook

Microsoft Power BI Cookbook

Microsoft Power BI is the most sought-after platform for BI professionals' visualization needs. Explore the latest Power BI features, future AI enhancements, and integration with other Power Platform tools via new recipes in this updated edition.

Jul 2024 19h 56m

Python Data Cleaning Cookbook

Python Data Cleaning Cookbook

The book shows you how to clean, wrangle, and view data from multiple perspectives, including dataset and column attributes. You will cover common and not-so-common challenges that are faced while cleaning messy data for complex situations and learn to manipulate data to get it down to a form that can be useful for making the right decisions.

May 2024 16h 12m

Microsoft Azure AI Fundamentals AI-900 Exam Guide

Microsoft Azure AI Fundamentals AI-900 Exam Guide

This AI-900 study guide will help you prepare and practice for the certification exam. You'll delve into AI workloads, ML principles, computer vision, NLP, knowledge mining, and generative AI using Azure cloud services.

May 2024 9h 36m

Using Stable Diffusion with Python

Using Stable Diffusion with Python

This book shows you how to use Python to control Stable Diffusion and generate high-quality images. In addition to covering the basic usage of the diffusers package, the book provides solutions for extending the package for more advanced purposes.

Jun 2024 11h 44m

Getting Started with DuckDB

Getting Started with DuckDB

This hands-on book teaches you to analyze large datasets with blazing speed and ease. You will learn how to use DuckDB to quickly load, query, transform, analyze, and visualize data effectively through a series of practical examples.

Jun 2024 12h 44m

Databricks Certified Associate Developer for Apache Spark Using Python

Databricks Certified Associate Developer for Apache Spark Using Python

This guide gets you ready for certification with expert-backed content, key exam concepts, and topic reviews. Additionally, you'll be able to make the most of Apache Spark 3.0 to modernize workloads and more using specific tools and techniques.