Machine Learning and PHP: A Practical Guide

The book "Machine Learning and PHP" is a unique practical guide that shatters the myth that PHP is unsuitable for artificial intelligence tasks. The author, Alexey Petrov, a software engineer with 10 years of experience, proves that you can build full-fledged ML systems in PHP without resorting to complex integrations with Python or R.

What is this book about?

The book covers the complete cycle of working with machine learning in PHP: from data preparation to deploying ready-made models in production. You will learn how to implement:

• ML Basics in PHP: linear regression, logistic regression, decision trees, and the k-nearest neighbors method from scratch.
• Neural Networks: creating simple perceptrons and multi-layer networks with backpropagation.
• Natural Language Processing (NLP): tokenization, stemming, text sentiment analysis, and spam classification.
• Clustering: K-means and DBSCAN algorithms for user segmentation.
• Working with Data: cleaning, normalization, visualization via GD and Imagick.
• Integration with Popular Libraries: Rubix ML, PHP-ML, TensorFlow PHP (via FFI).

Who is this book for?

• PHP developers (from Junior to Senior) who want to expand their technology stack.
• Data Science specialists looking to explore an alternative platform for rapid prototyping.
• Students and instructors of web development and machine learning courses.
• Freelancers and startup owners who need to implement AI functionality without rewriting the backend.

What will you learn after reading?

• How to predict prices, demand, and user behavior using regression.
• How to create a product recommendation system based on clustering.
• How to write a chatbot with NLP elements in pure PHP.
• How to optimize the performance of ML models in a web environment.
• How to deploy a trained model in a Docker container.

All examples come with ready-to-use code that you can immediately apply in your projects. The book is written in accessible language, requiring no deep knowledge of mathematics — complex concepts are explained through analogies and visualizations.

Why PHP? PHP remains one of the most popular languages for web development. The book shows how to leverage its strengths (rapid development speed, a huge community, abundant hosting options) to build intelligent applications. You will learn to do what is typically considered Python's domain, while staying within your familiar ecosystem.

This is not just theory — it is a practical tool that will make your projects competitive in the era of artificial intelligence.