Mastering Java For Data Science Analytics And More For Production Ready Applications(1st Edition)
Authors:
Alexey Grigorev
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Book details
ISBN: 1782174273, 978-1782174271
Book publisher: Packt Publishing
Book Summary: Key FeaturesAn overview of modern Data Science and Machine Learning libraries available in JavaCoverage of a broad set of topics, going from the basics of Machine Learning to Deep Learning and Big Data frameworks.Easy-to-follow illustrations and the running example of building a search engine.Book DescriptionJava is the most popular programming language, according to the TIOBE index, and it is a typical choice for running production systems in many companies, both in the startup world and among large enterprises.Not surprisingly, it is also a common choice for creating data science applications: it is fast and has a great set of data processing tools, both built-in and external. What is more, choosing Java for data science allows you to easily integrate solutions with existing software, and bring data science into production with less effort.This book will teach you how to create data science applications with Java. First, we will revise the most important things when starting a data science application, and then brush up the basics of Java and machine learning before diving into more advanced topics. We start by going over the existing libraries for data processing and libraries with machine learning algorithms. After that, we cover topics such as classification and regression, dimensionality reduction and clustering, information retrieval and natural language processing, and deep learning and big data.Finally, we finish the book by talking about the ways to deploy the model and evaluate it in production settings.What you will learnGet a solid understanding of the data processing toolbox available in JavaExplore the data science ecosystem available in Java
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