Title Hands-on artificial intelligence with Java for beginners : build intelligent apps using machine learning and deep learning with Deeplearning4j / Nisheeth Joshi. [O'Reilly electronic resource]

Publication Info.

Birmingham, UK : Packt Publishing, 2018.

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Available on O'Reilly for Public Libraries

Bookmark link: https://library.naperville-lib.org:444/record=b3180045~S1

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Description	1 online resource : illustrations
Contents	Cover; Title Page; Copyright and Credits; Packt Upsell; Contributors; Table of Contents; Preface; Chapter 1: Introduction to Artificial Intelligence and Java; What is machine learning?; Differences between classification and regression; Installing JDK and JRE; Setting up the NetBeans IDE; Importing Java libraries and exporting code in projects as a JAR file; Summary; Chapter 2: Exploring Search Algorithms; An introduction to searching; Implementing Dijkstra's search; Understanding the notion of heuristics; A brief introduction to the A* algorithm; Implementing an A* algorithm; Summary
	Chapter 3: AI Games and the Rule-Based SystemIntroducing the min-max algorithm; Implementing an example min-max algorithm; Installing Prolog; An introduction to rule-based systems with Prolog; Setting up Prolog with Java; Executing Prolog queries using Java; Summary; Chapter 4: Interfacing with Weka; An introduction to Weka; Installing and interfacing with Weka; Calling the Weka environment into Java; Reading and writing datasets; Converting datasets; Converting an ARFF file to a CSV file; Converting a CSV file to an ARFF file; Summary; Chapter 5: Handling Attributes; Filtering attributes
	Discretizing attributesAttribute selection; Summary; Chapter 6: Supervised Learning; Developing a classifier; Model evaluation; Making predictions; Loading and saving models; Summary; Chapter 7: Semi-Supervised and Unsupervised Learning; Working with k-means clustering; Evaluating a clustering model; An introduction to semi-supervised learning; The difference between unsupervised and semi-supervised learning; Self-training and co-training machine learning models; Downloading a semi-supervised package; Creating a classifier for semi-supervised models
	Making predictions with semi-supervised machine learning modelsSummary; Other Books You May Enjoy; Index
Summary	This book will introduce the AI algorithms to the beginners and will take on implementing AI tasks using various Java-based libraries. It will take a practical approach to get you up and running with building smarter applications using Java programming knowledge.
Subject	Java (Computer program language)
	Artificial intelligence -- Computer programs.
	Machine learning.
	Problem solving -- Computer programs.
	Java (Langage de programmation)
	Intelligence artificielle -- Logiciels.
	Apprentissage automatique.
	Résolution de problème -- Logiciels.
	Artificial intelligence -- Computer programs
	Java (Computer program language)
	Machine learning
	Problem solving -- Computer programs
Other Form:	Print version: Joshi, Nisheeth. Hands-On Artificial Intelligence with Java for Beginners : Build Intelligent Apps Using Machine Learning and Deep Learning with Deeplearning4j. Birmingham : Packt Publishing Ltd, ©2018 9781789537550
ISBN	9781789531022 (electronic bk.)
	1789531020 (electronic bk.)

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