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Java Data Science Cookbook

You're reading from   Java Data Science Cookbook Explore the power of MLlib, DL4j, Weka, and more

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Product type Paperback
Published in Mar 2017
Publisher Packt
ISBN-13 9781787122536
Length 372 pages
Edition 1st Edition
Languages
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Author (1):
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Rushdi Shams Rushdi Shams
Author Profile Icon Rushdi Shams
Rushdi Shams
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Toc

Table of Contents (10) Chapters Close

Preface 1. Obtaining and Cleaning Data FREE CHAPTER 2. Indexing and Searching Data 3. Analyzing Data Statistically 4. Learning from Data - Part 1 5. Learning from Data - Part 2 6. Retrieving Information from Text Data 7. Handling Big Data 8. Learn Deeply from Data 9. Visualizing Data

Conventions

In this book, you will find a number of text styles that distinguish between different kinds of information. Here are some examples of these styles and an explanation of their meaning.

Code words in text, database table names, folder names, filenames, file extensions, pathnames, dummy URLs, user input, and Twitter handles are shown as follows: "Among them, you will find a folder named lib, which is the folder of interest."

A block of code is set as follows:

    classVals = new ArrayList<String>(); 
      for (int i = 0; i < 5; i++){ 
        classVals.add("class" + (i + 1)); 
    }

Any command-line input or output is written as follows:

@relation MyRelation 
 
@attribute age numeric 
@attribute name string 
@attribute dob date yyyy-MM-dd 
@attribute class {class1,class2,class3,class4,class5} 
 
@data 
35,'John Doe',1981-01-20,class3 
30,'Harry Potter',1986-07-05,class1

New terms and important words are shown in bold. Words that you see on the screen, for example, in menus or dialog boxes, appear in the text like this: "Select System info from the Administration panel."

Note

Warnings or important notes appear in a box like this.

Tip

Tips and tricks appear like this.

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