AI for PHP Developers (examples)AI for PHP

Introduction

• Getting Started • ML Ecosystem in PHP

Part I. The Mathematical Language of AI

• What is a model
• Vectors, dimensions and feature spaces
• Distances and similarity

Part II. Learning as Optimization

• Error, loss functions, and why they are needed
• Linear regression as a basic model
• Gradient descent on fingers

Part III. Classification and probabilities

• Probability as degree of confidence
• Logistic regression
• Why Naive Bayes works

Part IV. Proximity and data structure

• The k-nearest neighbors algorithm and local solutions
• Decision Trees and space partitioning

Part V. Text as mathematics

• Why do words turn into numbers
• Bag of Words and TF–IDF
• Embeddings as continuous spaces of meaning
• Transformers and context: from static vectors to understanding meaning
• Hands-on: embeddings in PHP with transformers
• RAG: Retrieval-Augmented Generation as an engineering system

Home
Part I. The Mathematical Language of AI
Distances and similarity
Case 2: Estimating object relevance

Distances and similarity

Case 3: Comming soon...