Packt+ | Advance your knowledge in tech

0

All 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 (16) Chapters

Java Data Science Cookbook

Credits

About the Author

About the Reviewer

www.PacktPub.com

Customer Feedback

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

Chapter 2. Indexing and Searching Data

In this chapter, we will cover the following recipes:

Indexing data with Apache Lucene
Searching indexed data with Apache Lucene

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 €14.99/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

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

Mastering Java Machine Learning

Mastering Java Machine Learning

Master key Java machine learning libraries and their applications with the help of real-world case studies. Explore advanced machine learning techniques such as anomaly detection, stream learning, active learning, semi-supervised learning, probabilistic graph modeling, text mining, deep learning, and big data batch and stream machine learning.

Jul 2017 18h 32m

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

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

RAG-Driven Generative AI

RAG-Driven Generative AI

Explore the transformative potential of RAG-driven LLMs, computer vision, and generative AI with this comprehensive guide, from basics to building a complex RAG pipeline

Sep 2024 11h 8m

Building AI Intensive Python Applications

Building AI Intensive Python Applications

Unlock the power of generative AI with LLMs, vector databases, Python, and MongoDB. Build intelligent apps, master retrieval-augmented generation, optimize models, and explore real-world use cases.

Sep 2024 9h 56m

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.

Elastic Stack 8.x Cookbook

Elastic Stack 8.x Cookbook

With its practical approach and real-world examples, this essential resource explores the full potential of Elastic Stack for data-driven projects. Learn how to build scalable and efficient data analytics and search solutions using Elastic Stack.

Jun 2024 22h 56m

Google Machine Learning and Generative AI for Solutions Architects

Google Machine Learning and Generative AI for Solutions Architects

Whether you are relatively new to AI/ML or an experienced solutions architect working to address emerging business challenges, this book covers everything you need to design, implement, and manage complex AI/ML workloads on Google Cloud.

Jun 2024 18h 24m

Generative AI with Amazon Bedrock

Generative AI with Amazon Bedrock

This book provides a hands-on approach to building generative AI applications at scale, covering several architectural patterns and use cases to help you solve business problems and innovate within your organization.

Jul 2024 12h 48m