Power Java by Watson, Mark -- Read -- Imperial Library of Trantor

Index

Preface

Book Outline If You Did Not Buy This Book

Network Programming Techniques for the Internet of Things

Motivation for IoT Running the example programs Design Pattern Directory Lookups User Data Protocol Network Programming Multicast/Broadcast Network Programming Wrap Up on IoT

Natural Language Processing Using OpenNLP

Using OpenNLP Pre-Trained Models Training a New Categorization Model for OpenNLP Using Our New Trained Classification Model Using the OpenNLP Parsing Model

Machine Learning Using Apache Spark

Setting Up Spark On Your Laptop Hello Spark - a Word Count Example Introducing the Spark MLlib Machine Learning Library MLlib Logistic Regression Example Using University of Wisconsin Cancer Database MLlib SVM Classification Example Using University of Wisconsin Cancer Database MLlib K-Means Example Program Converting Text to Numeric Feature Vectors Using K-Means to Cluster Wikipedia Articles Using word2vec To Find Similar Words In Documents Chapter Wrap Up

Anomaly Detection Machine Learning Example

Motivation for Anomaly Detection Math Primer for Anomaly Detection AnomalyDetection Utility Class Example Using the University of Wisconsin Cancer Data

Deep Learning Using Deeplearning4j

Deep Belief Networks Deep Belief Example Deep Learning Wrapup

Web Scraping Examples

Motivation for Web Scraping Using the jsoup Library Wrap Up

Linked Data

Example Code Overview of RDF and SPARQL SPARQL Query Client DBPedia Entity Lookup Annotate Text with DBPedia Entity URIs Resolving Named Entities in Text to Wikipedia URIs Combining Data from Public and Private Sources Wrap Up for Linked Data

Java Strategies for Working with Cloud Data: Knowledge Management-Lite

Motivation for Knowledge Management Using Google Drive Cloud Takeout Service Using Postgres as a Local Document Store with Text Search Wrap Up

Book Wrap Up