Data Modeling Design

Richard M. Reese,Jennifer L. Reese,Alexey Grigorev's Java: Data Science Made Easy PDF

By Richard M. Reese,Jennifer L. Reese,Alexey Grigorev

ISBN-10: 1788475658

ISBN-13: 9781788475655

Data assortment, processing, research, and more

About This Book

  • Your access price ticket to the area of information technology with the steadiness and gear of Java
  • Explore, examine, and visualize your facts successfully utilizing easy-to-follow examples
  • A hugely sensible direction overlaying a wide set of issues - from the fundamentals of desktop studying to Deep studying and massive facts frameworks.

Who This ebook Is For

This direction is intended for Java builders who're cozy constructing purposes in Java, and now are looking to input the realm of knowledge technological know-how or desire to construct clever purposes. Aspiring facts scientists with a few realizing of the Java programming language also will locate this e-book to be very valuable. while you're keen to construct effective facts technological know-how functions and produce them within the company surroundings with out altering your present Java stack, this booklet is for you!

What you are going to Learn

  • Understand the foremost thoughts of knowledge science
  • Explore the information technological know-how environment to be had in Java
  • Work with the Java APIs and strategies used to accomplish effective information analysis
  • Find out find out how to technique diverse laptop studying issues of Java
  • Process unstructured info resembling normal language textual content or photographs, and create your individual searc
  • Learn find out how to construct deep neural networks with DeepLearning4j
  • Build info technology purposes that scale and strategy quite a lot of data
  • Deploy information technological know-how versions to creation and evaluation their performance

In Detail

Data technological know-how is anxious with extracting wisdom and insights from a large choice of knowledge assets to examine styles or expect destiny behaviour. It attracts from a big selection of disciplines together with facts, computing device technology, arithmetic, computer studying, and knowledge mining. during this direction, we hide the fundamental in addition to complex information technological know-how suggestions and the way they're applied utilizing the preferred Java instruments and libraries.The path starts off with an creation of knowledge technology, through the fundamental info technology initiatives of information assortment, info cleansing, information research, and knowledge visualization. this can be by way of a dialogue of statistical thoughts and extra complex issues together with computing device studying, neural networks, and deep studying. you are going to research the key different types of knowledge research together with textual content, visible, and audio information, via a dialogue of assets that help parallel implementation. all through this path, the chapters will illustrate a hard information technological know-how challenge, after which move directly to current a finished, Java-based technique to take on that challenge. you'll disguise a variety of subject matters – from class and regression, to dimensionality aid and clustering, deep studying and dealing with huge information. ultimately, you'll discover the several how you can installation the version and assessment it in creation settings.

By the top of this path, you may be up and operating with a variety of features of information technological know-how utilizing Java, very quickly at all.

This path includes top rate content material from of our lately released well known titles:

  • Java for facts Science
  • Mastering Java for information Science

Style and approach

This path follows an educational technique, supplying examples of every of the ideas lined. With a step by step tutorial kind, this booklet covers quite a few elements of information technology and should get you up and working quickly.

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Java: Data Science Made Easy by Richard M. Reese,Jennifer L. Reese,Alexey Grigorev


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