Название: Practical Artificial Intelligence Programming With ClojureАвтор: Mark Watson
Издательство: Leanpub
Год: 2021-05-21
Страниц: 99
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB
This book contains both pure Clojure examples as well as examples using Java libraries built in. A practical guide to Artificial Intelligence development using Clojure that uses spaCY, transformer models, DeepLearning4J, and knowledge graph tools in Clojure applications.
I wrote this book for both professional programmers and home hobbyists who already know how to program in Clojure and who want to learn practical AI programming and information processing techniques. I have tried to make this an enjoyable book to work through. In the style of a “cook book,” the chapters can be studied in any order.
To be clear, I actually like Common Lisp slightly more than Clojure, even though Clojure is a beautifully designed modern language and Common Lisp is ancient and has defects. Then why do I use Clojure? The Java ecosystem is huge and Clojure takes full advantage of Java interoperability. Just as I sometimes need access to the rich Java ecosystem I also need Python libraries for some of my projects. Here we will use the libpython-clj library for that. I also like the language Hy that has a Clojure-like syntax and wraps the Python language.
Using the Java ecosystem is an important aspect of Clojure development and in the few cases where I use Java libraries from my Java AI book, my Clojure examples illustrate how to convert Clojure seq data to Java arrays, handle returned Java data values, etc.
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