This repository is a curated collection of links to various courses and resources about Artificial Intelligence (AI), Machine Learning (ML), Deep Learning (DL), Data Science, Math and more. Whether you are a beginner or an experienced professional, you are sure to find a course that is right for you.
Websites/ Books
- Deep Learning Drizzle
- Dive into Deep Learning
- HELM Workbooks
- Machine Learning / Data Mining
- Statistical Analysis with Excel For Dummies
Math
- Essence of linear algebra
- Mathematics for Machine Learning
- Introduction to Machine Learning for Coders
- Statistics Course for Beginners: Introduction to Statistics | MarinStatsLectures
- MIT 18.650 Statistics for Applications, Fall 2016
Computer Science
Machine Learning
- Stanford CS229: Machine Learning Course | Summer 2019 (Anand Avati)
- Stanford CS229: Machine Learning Full Course taught by Andrew Ng | Autumn 2018
Deep Learning
- Dive into Deep Learning
- Stanford CS330: Stanford CS330: Deep Multi-Task and Meta Learning I Autumn 2022
- MIT 6.S191: Introduction to Deep Learning
- UvA Deep Learning Tutorial
- Generative Adversarial Networks (GANs)
- TensorFlow 2.0 Beginner Tutorials
- Deep Learning Do It Yourself
- Understanding Deep Learning by Simon J.D. Prince
Image Processing
- Image processing with python
- Introductory python tutorials for image processing
- Image Processing in Python
Computer Vision
Natural Language Processing
- Deep Learning for Natural Language Processing
- Natural Language Processing with Deep Learning
- Stanford CS25 - Transformers United
Pytorch Tutorial
GitHub
- Whisper is a general-purpose speech recognition model.
- Machine Learning Collection
- Sophia Optimizer
- AnyLabeling
Data Science
- Introduction to Data-Centric AI, MIT IAP 2023
- Statistics Course for Beginners: Introduction to Statistics | MarinStatsLectures
Math
Machine Learning
- Machine Learning cơ bản
- Tự học Machine Learning
- Đắm mình vào học sâu
- Machine Learning Foundation and Practice – Máy học căn bản
Deep Learning
- Deep Learning cơ bản (Nguyễn Thanh Tuấn)
- Đắm mình vào học sâu
- Deeplearning cơ bản
- Deep Learning
- Segmentation
- Semantic Segmentation with PyTorch
- Khoá học Active Learning
Image Processing
Computer Vision
Xử lý ngôn ngữ tự nhiên
Quantum Neural Network
- Từ lý thuyết lượng tử đến Quantum Neural Network (phần 1)
- Từ lý thuyết lượng tử đến Quantum Neural Network (phần 2)
- Thiết kế mạng Quantum Neural Network với Pytorch và Qiskit
Pytorch Tutorial
Data Science
Graph Theory