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Java for Data Science

You're reading from  Java for Data Science

Product type Book
Published in Jan 2017
Publisher Packt
ISBN-13 9781785280115
Pages 386 pages
Edition 1st Edition
Languages
Authors (2):
Richard M. Reese Richard M. Reese
Profile icon Richard M. Reese
Jennifer L. Reese Jennifer L. Reese
Profile icon Jennifer L. Reese
View More author details

Table of Contents (19) Chapters

Java for Data Science
Credits
About the Authors
About the Reviewers
www.PacktPub.com
Customer Feedback
Preface
Getting Started with Data Science Data Acquisition Data Cleaning Data Visualization Statistical Data Analysis Techniques Machine Learning Neural Networks Deep Learning Text Analysis Visual and Audio Analysis Mathematical and Parallel Techniques for Data Analysis Bringing It All Together

About the Authors

Richard M. Reese has worked in both industry and academics. For 17 years, he worked in the telephone and aerospace industries, serving in several capacities, including research and development, software development, supervision, and training. He currently teaches at Tarleton State University, where he has the opportunity to apply his years of industry experience to enhance his teaching.

Richard has written several Java books and a C Pointer book. He uses a concise and easy-to-follow approach to topics at hand. His Java books have addressed EJB 3.1, updates to Java 7 and 8, certification, jMonkeyEngine, natural language processing, functional programming, and networks.

Richard would like to thank his wife, Karla, for her continued support, and to the staff of Packt Publishing for their work in making this a better book.

Jennifer L. Reese studied computer science at Tarleton State University. She also earned her M.Ed. from Tarleton in December 2016. She currently teaches computer science to high-school students. Her research interests include the integration of computer science concepts with other academic disciplines, increasing diversity in computer science courses, and the application of data science to the field of education.

She previously worked as a software engineer developing software for county- and district-level government offices throughout Texas. In her free time she enjoys reading, cooking, and traveling—especially to any destination with a beach. She is a musician and appreciates a variety of musical genres.

I would like to thank Dad for his inspiration and guidance, Mom for her patience and perspective, and Jace for his support and always believing in me.

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Java for Data Science
Published in: Jan 2017 Publisher: Packt ISBN-13: 9781785280115
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