Java Data Science Cookbook by Shams, Rushdi -- Read -- Imperial Library of Trantor

Index

Java Data Science Cookbook

Java Data Science Cookbook Credits About the Author About the Reviewer www.PacktPub.com

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Customer Feedback Preface

What this book covers What you need for this book Who this book is for Sections

Getting ready How to do it... How it works... There's more... See also

Conventions Reader feedback Customer support

Downloading the example code Downloading the color images of this book Errata Piracy Questions

1. Obtaining and Cleaning Data

Introduction Retrieving all filenames from hierarchical directories using Java

Getting ready How to do it...

Retrieving all filenames from hierarchical directories using Apache Commons IO

Getting ready How to do it...

Reading contents from text files all at once using Java 8

How to do it...

Reading contents from text files all at once using Apache Commons IO

Getting ready How to do it...

Extracting PDF text using Apache Tika

Getting ready How to do it...

Cleaning ASCII text files using Regular Expressions

How to do it...

Parsing Comma Separated Value (CSV) Files using Univocity

Getting ready How to do it...

Parsing Tab Separated Value (TSV) file using Univocity

Getting ready How to do it...

Parsing XML files using JDOM

Getting ready How to do it...

Writing JSON files using JSON.simple

Getting ready How to do it...

Reading JSON files using JSON.simple

Getting ready How to do it ...

Extracting web data from a URL using JSoup

Getting ready How to do it...

Extracting web data from a website using Selenium Webdriver

Getting ready How to do it...

Reading table data from a MySQL database

Getting ready How to do it...

2. Indexing and Searching Data

Introduction Indexing data with Apache Lucene

Getting ready How to do it... How it works...

Searching indexed data with Apache Lucene

Getting ready How to do it...

3. Analyzing Data Statistically

Introduction Generating descriptive statistics

How to do it...

Generating summary statistics

How to do it...

Generating summary statistics from multiple distributions

How to do it... There's more...

Computing frequency distribution

How to do it...

Counting word frequency in a string

How to do it... How it works...

Counting word frequency in a string using Java 8

How to do it...

Computing simple regression

How to do it...

Computing ordinary least squares regression

How to do it...

Computing generalized least squares regression

How to do it...

Calculating covariance of two sets of data points

How to do it...

Calculating Pearson's correlation of two sets of data points

How to do it...

Conducting a paired t-test

How to do it...

Conducting a Chi-square test

How to do it...

Conducting the one-way ANOVA test

How to do it...

Conducting a Kolmogorov-Smirnov test

How to do it...

4. Learning from Data - Part 1

Introduction Creating and saving an Attribute-Relation File Format (ARFF) file

How to do it...

Cross-validating a machine learning model

How to do it...

Classifying unseen test data

Getting ready How to do it...

Classifying unseen test data with a filtered classifier

How to do it...

Generating linear regression models

How to do it...

Generating logistic regression models

How to do it...

Clustering data points using the KMeans algorithm

How to do it...

Clustering data from classes

How to do it...

Learning association rules from data

Getting ready How to do it...

Selecting features/attributes using the low-level method, the filtering method, and the meta-classifier method

Getting ready How to do it...

5. Learning from Data - Part 2

Introduction Applying machine learning on data using Java Machine Learning (Java-ML) library

Getting ready How to do it...

Classifying data points using the Stanford classifier

Getting ready How to do it... How it works...

Classifying data points using Massive Online Analysis (MOA)

Getting ready How to do it...

Classifying multilabeled data points using Mulan

Getting ready How to do it...

6. Retrieving Information from Text Data

Introduction Detecting tokens (words) using Java

Getting ready How to do it...

Detecting sentences using Java

Getting ready How to do it...

Detecting tokens (words) and sentences using OpenNLP

Getting ready How to do it...

Retrieving lemma, part-of-speech, and recognizing named entities from tokens using Stanford CoreNLP

Getting ready How to do it...

Measuring text similarity with Cosine Similarity measure using Java 8

Getting ready How to do it...

Extracting topics from text documents using Mallet

Getting ready How to do it...

Classifying text documents using Mallet

Getting ready How to do it...

Classifying text documents using Weka

Getting ready How to do it...

7. Handling Big Data

Introduction Training an online logistic regression model using Apache Mahout

Getting ready How to do it...

Applying an online logistic regression model using Apache Mahout

Getting ready How to do it...

Solving simple text mining problems with Apache Spark

Getting ready How to do it...

Clustering using KMeans algorithm with MLib

Getting ready How to do it...

Creating a linear regression model with MLib

Getting ready How to do it...

Classifying data points with Random Forest model using MLib

Getting ready How to do it...

8. Learn Deeply from Data

Introduction Creating a Word2vec neural net using Deep Learning for Java (DL4j)

How to do it... How it works... There's more

Creating a Deep Belief neural net using Deep Learning for Java (DL4j)

How to do it... How it works...

Creating a deep autoencoder using Deep Learning for Java (DL4j)

How to do it... How it works...

9. Visualizing Data

Introduction Plotting a 2D sine graph

Getting ready How to do it...

Plotting histograms

Getting ready How to do it...

Plotting a bar chart

Getting ready How to do it...

Plotting box plots or whisker diagrams

Getting ready How to do it...

Plotting scatter plots

Getting ready How to do it...

Plotting donut plots

Getting ready How to do it...

Plotting area graphs

Getting ready How to do it...

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