0

Explore Products

Best Sellers

New Releases

Books

Videos

Audiobooks

Free Learning

Java Data Analysis

You're reading from Java Data Analysis Data mining, big data analysis, NoSQL, and data visualization

Product type Paperback

Published in Sep 2017

Publisher Packt

ISBN-13 9781787285651

Length 412 pages

Edition 1st Edition

Languages

Java

Tools

RapidMiner

Concepts

Big Data

Author (1):

John R. Hubbard

View More author details

Table of Contents (14) Chapters

Preface

1. Introduction to Data Analysis FREE CHAPTER

2. Data Preprocessing

3. Data Visualization

4. Statistics

5. Relational Databases

6. Regression Analysis

7. Classification Analysis

8. Cluster Analysis

9. Recommender Systems

10. NoSQL Databases

11. Big Data Analysis with Java

A. Java Tools

Index

Appendix A. Java Tools

This appendix gives a brief description and installation instructions about the various software tools that are used in the book. Each of these tools is free and can be installed fairly easily on your own computer, whether you are running macOS X, Microsoft Windows, or some variety of UNIX. Since everything in this book was written on a Mac, we will focus on that platform. Installations and maintenance on other platforms is similar.

This information is current as of August, 2017. The online links are likely to be updated periodically, but the basic steps for installation and use are not expected to change much.

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 R$50/month. Cancel anytime

Authors (1)

John R. Hubbard

John R. Hubbard

John R. Hubbard has been doing computer-based data analysis for over 40 years at colleges and universities in Pennsylvania and Virginia. He holds an MSc in computer science from Penn State University and a PhD in mathematics from the University of Michigan. He is currently a professor of mathematics and computer science, Emeritus, at the University of Richmond, where he has been teaching data structures, database systems, numerical analysis, and big data. Dr. Hubbard has published many books and research papers, including six other books on computing. Some of these books have been translated into German, French, Chinese, and five other languages. He is also an amateur timpanist.

See other products by John R. Hubbard

Other recommended products

Related to this chapter

Raspberry Pi 3 Projects for Java Programmers

Raspberry Pi 3 Projects for Java Programmers

This book will try to create starting points for Java developers who would like to extend their knowledge on how to interact with hardware on the Raspberry Pi by providing small real world usable projects. After reading this book the reader will be able to build their own real world usable projects not limited to Home Automation, IoT and/or Robotics utilizing logic, user- and web interfaces.

May 2017 9h 32m

Hands-On Business Intelligence with DAX

Hands-On Business Intelligence with DAX

This book follows a step-by-step explanation of essential concepts, practical examples, and self-assessment questions. You will begin by learning the basics of DAX, along with important concepts such as evaluation contexts and data modeling, before moving on to more advanced topics such as query optimization.

Jan 2020 13h 24m

Hands-On Business Intelligence with DAX

Hands-On Business Intelligence with DAX

This book follows a step-by-step explanation of essential concepts, practical examples, and self-assessment questions. You will begin by learning the basics of DAX, along with important concepts such as evaluation contexts and data modeling, before moving on to more advanced topics such as query optimization.

Jan 2020 13h 24m

Hands-On Business Intelligence with DAX

Hands-On Business Intelligence with DAX

This book follows a step-by-step explanation of essential concepts, practical examples, and self-assessment questions. You will begin by learning the basics of DAX, along with important concepts such as evaluation contexts and data modeling, before moving on to more advanced topics such as query optimization.

Jan 2020 13h 24m

Statistics Crash Course for Beginners

Statistics Crash Course for Beginners

Through both theoretical and practical study with Python, this course will get you up to speed with all you need to know about statistics in programming—a core study of machine learning.

Mar 2021 10h 58m

Practical Discrete Mathematics

Practical Discrete Mathematics

Discrete math deals with studying finite and distinct elements. With this book, you'll learn the discrete math language and methods crucial to studying and describing objects and functions in computer science. You'll also focus on the mathematics of machine learning and computer science and prepare to understand real-world algorithm development.

Feb 2021 11h 0m

Practical Discrete Mathematics

Practical Discrete Mathematics

Discrete math deals with studying finite and distinct elements. With this book, you'll learn the discrete math language and methods crucial to studying and describing objects and functions in computer science. You'll also focus on the mathematics of machine learning and computer science and prepare to understand real-world algorithm development.

Feb 2021 11h 0m

Practical Discrete Mathematics

Practical Discrete Mathematics

Discrete math deals with studying finite and distinct elements. With this book, you'll learn the discrete math language and methods crucial to studying and describing objects and functions in computer science. You'll also focus on the mathematics of machine learning and computer science and prepare to understand real-world algorithm development.

Feb 2021 11h 0m

Practical Discrete Mathematics

Practical Discrete Mathematics

Discrete math deals with studying finite and distinct elements. With this book, you'll learn the discrete math language and methods crucial to studying and describing objects and functions in computer science. You'll also focus on the mathematics of machine learning and computer science and prepare to understand real-world algorithm development.

Feb 2021 11h 0m

Practical Discrete Mathematics

Practical Discrete Mathematics

Discrete math deals with studying finite and distinct elements. With this book, you'll learn the discrete math language and methods crucial to studying and describing objects and functions in computer science. You'll also focus on the mathematics of machine learning and computer science and prepare to understand real-world algorithm development.

Feb 2021 11h 0m

Practical Discrete Mathematics

Practical Discrete Mathematics

Discrete math deals with studying finite and distinct elements. With this book, you'll learn the discrete math language and methods crucial to studying and describing objects and functions in computer science. You'll also focus on the mathematics of machine learning and computer science and prepare to understand real-world algorithm development.

Feb 2021 11h 0m

Practical Discrete Mathematics

Practical Discrete Mathematics

Discrete math deals with studying finite and distinct elements. With this book, you'll learn the discrete math language and methods crucial to studying and describing objects and functions in computer science. You'll also focus on the mathematics of machine learning and computer science and prepare to understand real-world algorithm development.

Feb 2021 11h 0m

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

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

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

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

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

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