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|a Joshi, Nisheeth,
|e author.
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|a Hands-on artificial intelligence with Java for beginners :
|b build intelligent apps using machine learning and deep learning with Deeplearning4j /
|c Nisheeth Joshi.
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264 |
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1 |
|a Birmingham, UK :
|b Packt Publishing,
|c 2018.
|
300 |
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|a 1 online resource :
|b illustrations
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|a text
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|a Online resource; title from title page (Safari, viewed October 2, 2018).
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|a 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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505 |
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|a 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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|a 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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|a Making predictions with semi-supervised machine learning modelsSummary; Other Books You May Enjoy; Index
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520 |
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|a 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.
|
590 |
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|a O'Reilly
|b O'Reilly Online Learning: Academic/Public Library Edition
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650 |
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|a Java (Computer program language)
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|a Artificial intelligence
|x Computer programs.
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|a Machine learning.
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|a Java (Langage de programmation)
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|a Intelligence artificielle
|x Logiciels.
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650 |
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|a Apprentissage automatique.
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650 |
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|a Résolution de problème
|x Logiciels.
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|a COMPUTERS
|x Intelligence (AI) & Semantics.
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|a Machine learning.
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650 |
|
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|a Problem solving
|x Computer programs.
|2 fast
|0 (OCoLC)fst01077894
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776 |
0 |
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|i Print version:
|a Joshi, Nisheeth.
|t Hands-On Artificial Intelligence with Java for Beginners : Build Intelligent Apps Using Machine Learning and Deep Learning with Deeplearning4j.
|d Birmingham : Packt Publishing Ltd, ©2018
|z 9781789537550
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|u https://learning.oreilly.com/library/view/~/9781789537550/?ar
|z Texto completo (Requiere registro previo con correo institucional)
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