AI for PHP Developers (examples)
AI for PHP
EN
RU
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 1: Comparing objects and users
Distances and similarity
Case 1: Comming soon...