A list to centralize excellent free online courses.
If you want to participate, please do so and send me a pull request :)
- Covid-19 special offers
- AI
- Data Science and Statistics
- Computer Science
- Optimization
- Web Development
- Software Development
- Cloud
- Business
- Various
- Class Central - 450 kostenlose Online-Kurse der Ivy League
- Oncampus - 120 Selbstlernkurse kostenlos mit dem Code
elearning
- Deep Learning Course by Yann LeCun: This course concerns the latest techniques in deep learning and representation learning, focusing on supervised and unsupervised deep learning, embedding methods, metric learning, convolutional and recurrent nets, with applications to computer vision, natural language understanding, and speech recognition.
- The Machine Learning Summer School: Tübingen University held their summer school completely online this year and all lectures are available for free.
- AwesomeAI: A very nice summary about AI courses, that I will just add some things to.
- DeepLearning.AI: Andrew Ng's Deep Learning specialization course.
- Fast AI Course
- Math for AI: You all know, I'm a mathematician... So, of yourse I will bring up this course.
- Probabilistic Graphical Models: Probabilistic graphical models (PGMs) are a rich framework for encoding probability distributions over complex domains: joint (multivariate) distributions over large numbers of random variables that interact with each other. These representations sit at the intersection of statistics and computer science, relying on concepts from probability theory, graph algorithms, machine learning, and more.
- Recommender Systems: A Recommender System is a process that seeks to predict user preferences.
- Introduction to TensorFlow for Artificial Intelligence, Machine Learning, and Deep Learning
- Deep Neural Networks with PyTorch
- Practical Machine Learning on H2O
- Data Science Overview
- Applied Data Science with Python
- Statistics with R
- Bayesian statistics: An introduction to Bayesian and classical statistics.
- Bayesian Statistics: Techniques and Models
- Practical Time Series Analysis
- A Crash Course in Causality: Inferring Causal Effects from Observational Data
- Data structures and algorithms: As I always tell my students in my "Advanced data models" lecture: "Many model thinkers are the best thinkers"...
- Computational thinking
- Business Foundations
- Project Management Principles and Practices
- Supply Chain Management
- Effective Communication: Writing, Design, and Presentation
- Career Success
- Six Sigma Green Belt
- Business Strategy