Resources
This section lists helpful tools, libraries, and references for further exploration of the topics covered in this book.
Official Website of the Book
Web Portals & Tutorials
Javatpoint - Free Online Tutorials. https://www.javatpoint.com
GeeksforGeeks - A computer science portal for geeks. https://www.geeksforgeeks.org
W3Schools - Online Web Tutorials https://www.w3schools.com
Libraries and Tools
Rubix ML - A PHP library for building machine learning models. https://rubixml.com
RubixML/Tensor - A PHP library for building machine learning models. https://github.com/RubixML/Tensor
PHP-ML - A lightweight PHP library for machine learning. https://php-ml.readthedocs.io
MathPHP - A powerful modern math library for PHP. https://github.com/markrogoyski/math-php
OpenAI PHP Client - PHP API client that allows you to interact with the Open AI API. https://github.com/openai-php/client
LLM Agents PHP SDK - PHP library designed to facilitate the creation and management of Language Model (LLM)-based agents. https://github.com/llm-agents-php/agents
Public Datasets
UCI Machine Learning Repository https://archive.ics.uci.edu
Kaggle https://www.kaggle.com
Books
Artificial Intelligence: A Modern Approach, by Stuart Russell and Peter Norvig https://aima.cs.berkeley.edu
Electric Sheep Hunt: The Big Book of Artificial Intelligence (2 volumes), by Sergey Markov https://markoff.science
The Hundred-Page Language Models Book, by Andriy Burkov https://themlbook.com
Make Your Own Neural Network, by Tariq Rashid https://www.amazon.com/Make-Your-Own-Neural-Network-ebook/dp/B01EER4Z4G
If you'd like to suggest a resource, please contact us or submit a pull request via our GitHub repository.
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