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make this an enjoyable book to work through. In the style of a “cook book,” the chapters can be studied in any order. Each chapter follows the same pattern: a mo-tivation for learning a technique, some theory for the technique, and a Java example program that you can experiment with.
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Preface 3 Codesharingisachievedbyinstallingthecodeinyourlocalmavenrepository,forexample: 1 cd Java-AI-Book-Code/opennlp 2 mvn install Now ...
My Java code in this book can be used under either or both the LGPL3 and Apache 2 licenses - choose whichever of these two licenses that works best for you. Git pull requests with code improvements will be appreciated by me and the readers of this book.
In working through this section on AI Programming in Java, we recommend the reader keep these goals in mind, to think in terms of using Java to embed AI capability in larger, more general programs.
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Nov 18, 2024 · Get clear explanations of key AI techniques, hands-on examples, and real-world projects to help you build AI-powered applications without abandoning the familiar Java environment. Explore foundational AI concepts and learn how to apply core technologies to transform your Java projects into cutting-edge, modern applications.
Aug 10, 2021 · We’ve created an improved version of OpenAI Codex, our AI system that translates natural language to code, and we are releasing it through our API in private beta starting today. Codex is the model that powers GitHub Copilot , which we built and launched in partnership with GitHub a month ago.
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AI can be used for automating systems or processes to carry out complex tasks and functions in order to achieve optimal performance and productivity. This book covers the following exciting features: Leverage different Java packages and tools such as Weka, RapidMiner, and Deeplearning4j, among others