Java for Data Science: Examine the techniques and Java tools supporting the growing field of data science - Softcover

Reese, Richard M.; Reese, Jennifer L.

Softcover

ISBN 10: 1785280112 ISBN 13: 9781785280115

Publisher: Packt Publishing, 2017

Synopsis

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.

About this title

About the Authors

Richard Reese has worked in the industry and academics for the past 29 years. For 10 years he provided software development support at Lockheed and at one point developed a C based network application. He was a contract instructor providing software training to industry for 5 years. Richard is currently an Associate Professor at Tarleton State University in Stephenville Texas. Richard is the author of various books and video courses some of which are as follows: Natural Language Processing with Java. Java for Data Science Getting Started with Natural Language Processing in Java

Shilpi Saxena is an IT professional and also a technology evangelist. She is an engineer who has had exposure to various domains (machine to machine space, healthcare, telecom, hiring, and manufacturing). She has experience in all the aspects of conception and execution of enterprise solutions. She has been architecting, managing, and delivering solutions in the Big Data space for the last 3 years; she also handles a high-performance and geographically-distributed team of elite engineers. Shilpi has more than 12 years (3 years in the Big Data space) of experience in the development and execution of various facets of enterprise solutions both in the products and services dimensions of the software industry. An engineer by degree and profession, she has worn varied hats, such as developer, technical leader, product owner, tech manager, and so on, and she has seen all the flavors that the industry has to offer. She has architected and worked through some of the pioneers' production implementations in Big Data on Storm and Impala with autoscaling in AWS. Shilpi has also authored Real-time Analytics with Storm and Cassandra (https://www.packtpub.com/big-data-and-business-intelligence/learning-real-time-analytics-storm-and-cassandra) with Packt Publishing.

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 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 has co-authored two books: Java for Data Science and Java 7 New Features Cookbook. She previously worked as a software engineer. 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.

Edition details

• Publisher: Packt Publishing
• Publication date: 2017
• Language: English
• ISBN 10: 1785280112
• ISBN 13: 9781785280115
• Binding: Paperback
• Number of pages: 386