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BL
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| Record Number
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856685
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| Main Entry
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Joshi, Nisheeth
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| Title & Author
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Hands-on artificial intelligence with Java for beginners : : build intelligent apps using machine learning and deep learning with Deeplearning4j /\ Nisheeth Joshi.
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| Publication Statement
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Birmingham, UK :: Packt Publishing,, 2018.
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| Page. NO
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1 online resource :: illustrations
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| ISBN
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1789531020
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: 9781789531022
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178953755X
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9781789537550
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| Contents
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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
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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
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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
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Making predictions with semi-supervised machine learning modelsSummary; Other Books You May Enjoy; Index
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| Abstract
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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.
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| Subject
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Artificial intelligence-- Computer programs.
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Java (Computer program language)
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Machine learning.
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Problem solving-- Computer programs.
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Artificial intelligence-- Computer programs.
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COMPUTERS-- Intelligence (AI) Semantics.
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Java (Computer program language)
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Machine learning.
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Problem solving-- Computer programs.
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| Dewey Classification
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005.2762
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| LC Classification
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QA76.73.J38
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