PyTorch: Learn the Basics

Category

AI / ML / Deep Learning

Provider

PyTorch

Type

course

Level

Foundation

Topic

AI / ML / Deep Learning

Track

AI / ML / Deep Learning

Section

Learning path

Format

Tutorial / docs

Status

publishable

Commercial

candidate

Featured

yes

Fast start

yes

Sequence

4.0

Priority

Fast

Primary source

direct_links_master

Sources

direct_links_master, mega_open_hub

ID

2a0f6e0d370ad6c4

PyTorch Tutorials

PyTorch

Official tutorials spanning beginner fundamentals through deployment and advanced workflows.

scikit-learn documentation

scikit-learn

Still the fastest way to build strong baselines and classical ML systems.

Hugging Face Learn

Hugging Face

Covers transformers, LLMs, agents, CV, audio, RL, and more with modern tooling.

scikit-learn User Guide

scikit-learn

Reference-quality guide for algorithms, model selection, pipelines, clustering, and deployment concerns.

scikit-learn Getting Started

scikit-learn

Shortest path into classical ML workflows for fitting, evaluating, and preprocessing models.

fast.ai Practical Deep Learning for Coders

fast.ai

Best practical route from beginner coder to shipping models quickly.

Stanford CS229: Machine Learning

Stanford

Solid mathematical and algorithmic treatment of core ML.

Google Machine Learning Crash Course

Google

High-signal introduction to supervised learning, feature engineering, evaluation, and modern ML workflow.

Hugging Face LLM Course

Hugging Face

Hands-on route into NLP and large language models using the Hugging Face ecosystem.

OpenAI Spinning Up

OpenAI

High-quality RL theory-to-implementation bridge.

Stanford CS231n

Stanford

Still one of the best deep learning for vision courses.

Stanford CS224n

Stanford

Strong sequence-modeling and language modeling foundation.