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Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science

(ebook) (audiobook) (audiobook) Książka w języku 1
Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science Richard M. Reese, Jennifer L. Reese - okladka książki

Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science Richard M. Reese, Jennifer L. Reese - okladka książki

Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science Richard M. Reese, Jennifer L. Reese - audiobook MP3

Java for Data Science. Examine the techniques and Java tools supporting the growing field of data science Richard M. Reese, Jennifer L. Reese - audiobook CD

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Stron:
386
Dostępne formaty:
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     ePub
     Mobi

Ebook (134,10 zł najniższa cena z 30 dni)

159,00 zł (-10%)
143,10 zł

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Do przechowalni

para 1: Get the lowdown on Java and explore big data analytics with Java for Data Science. Packed with examples and data science principles, this book uncovers the techniques & Java tools supporting data science and machine learning. Para 2: The stability and power of Java combines with key data science concepts for effective exploration of data. By working with Java APIs and techniques, this data science book allows you to build applications and use analysis techniques centred on machine learning. Para 3: Java for Data Science gives you the understanding you need to examine the techniques and Java tools supporting big data analytics. These Java-based approaches allow you to tackle data mining and statistical analysis in detail. Deep learning and Java data mining are also featured, so you can explore and analyse data effectively, and build intelligent applications using machine learning. para 4: What?s Inside ? Understand data science principles with Java support ? Discover machine learning and deep learning essentials ? Explore data science problems with Java-based solutions

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O autorach książki

Richard M. Reese has worked in both industry and academia. 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. Richard has written several Java books and a C Pointer book. He uses a concise and easy-to-follow approach to teaching about topics. His Java books have addressed EJB 3.1, updates to Java 7 and 8, certification, functional programming, jMonkeyEngine, and natural language processing.
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.

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