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Java Data Science Cookbook
Java Data Science Cookbook

Java Data Science Cookbook: Explore the power of MLlib, DL4j, Weka, and more

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R$50 per month
Paperback Mar 2017 372 pages 1st Edition
eBook
R$80 R$245.99
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R$306.99
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Arrow left icon
Profile Icon Shams
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R$50 per month
Paperback Mar 2017 372 pages 1st Edition
eBook
R$80 R$245.99
Paperback
R$306.99
Subscription
Free Trial
Renews at R$50p/m
eBook
R$80 R$245.99
Paperback
R$306.99
Subscription
Free Trial
Renews at R$50p/m

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Java Data Science Cookbook

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Key benefits

  • This book provides modern recipes in small steps to help an apprentice cook become a master chef in data science
  • Use these recipes to obtain, clean, analyze, and learn from your data
  • Learn how to get your data science applications to production and enterprise environments effortlessly

Description

If you are looking to build data science models that are good for production, Java has come to the rescue. With the aid of strong libraries such as MLlib, Weka, DL4j, and more, you can efficiently perform all the data science tasks you need to. This unique book provides modern recipes to solve your common and not-so-common data science-related problems. We start with recipes to help you obtain, clean, index, and search data. Then you will learn a variety of techniques to analyze, learn from, and retrieve information from data. You will also understand how to handle big data, learn deeply from data, and visualize data. Finally, you will work through unique recipes that solve your problems while taking data science to production, writing distributed data science applications, and much more - things that will come in handy at work.

Who is this book for?

This book is for Java developers who are familiar with the fundamentals of data science and want to improve their skills to become a pro.

What you will learn

  • Find out how to clean and make datasets ready so you can acquire actual insights by removing noise and outliers
  • Develop the skills to use modern machine learning techniques to retrieve information and transform data to knowledge. retrieve information from large amount of data in text format.
  • Familiarize yourself with cutting-edge techniques to store and search large volumes of data and retrieve information from large amounts of data in text format
  • Develop basic skills to apply big data and deep learning technologies on large volumes of data
  • Evolve your data visualization skills and gain valuable insights from your data
  • Get to know a step-by-step formula to develop an industry-standard, large-scale, real-life data product
  • Gain the skills to visualize data and interact with users through data insights

Product Details

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Publication date, Length, Edition, Language, ISBN-13
Publication date : Mar 28, 2017
Length: 372 pages
Edition : 1st
Language : English
ISBN-13 : 9781787122536
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Product Details

Publication date : Mar 28, 2017
Length: 372 pages
Edition : 1st
Language : English
ISBN-13 : 9781787122536
Category :
Languages :
Concepts :
Tools :

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Frequently bought together


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Table of Contents

9 Chapters
1. Obtaining and Cleaning Data Chevron down icon Chevron up icon
2. Indexing and Searching Data Chevron down icon Chevron up icon
3. Analyzing Data Statistically Chevron down icon Chevron up icon
4. Learning from Data - Part 1 Chevron down icon Chevron up icon
5. Learning from Data - Part 2 Chevron down icon Chevron up icon
6. Retrieving Information from Text Data Chevron down icon Chevron up icon
7. Handling Big Data Chevron down icon Chevron up icon
8. Learn Deeply from Data Chevron down icon Chevron up icon
9. Visualizing Data Chevron down icon Chevron up icon
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