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 SVM for Text Classification
- 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