21 Lessons, Get Started Building with Generative AI
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
12 Weeks, 24 Lessons, AI for All!
Learn how to develop, deploy and iterate on production-grade ML applications.
Data Engineering Zoomcamp is a free 9-week course on building production-ready data pipelines. Join the course here 👇🏼
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
This open-source curriculum introduces the fundamentals of Model Context Protocol (MCP) through real-world, cross-language examples in .NET, Java, TypeScript, JavaScript, Rust and Python. Designed for developers, it focuses on practical techniques for building modular, scalable, and secure AI workflows from session setup to service orchestration.
- csharp
- java
- javascript
- mcp
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
- machine-learning
- mlops
- model-deployment
- model-monitoring
Learn ML engineering for free in 4 months! Register here 👇🏼
Python training for business analysts and traders
- python
- jupyter
- jupyterlab
- binder
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
- numpy
- python
- linear-algebra
- data-science
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
- deep-learning
- mit
- self-driving-cars
- deep-reinforcement-learning
TranslatedMy continuously updated Machine Learning, Probabilistic Models and Deep Learning notes and demos (2000+ slides), with video links
Lab Materials for MIT 6.S191: Introduction to Deep Learning
LLM Zoomcamp - a free online course about real-life applications of LLMs. In 10 weeks you will learn how to build an AI system that answers questions about your knowledge base. Register here 👇🏼
All course materials for the Zero to Mastery Machine Learning and Data Science course.
TranslatedCourse slides and assignments for Hung-yi Lee's (李宏毅) 2021/2022/2023 Spring Machine Learning courses
NYU Deep Learning Spring 2020
- jupyter-notebook
- pytorch
- deep-learning
- neural-nets
A course in reinforcement learning in the wild
- reinforcement-learning
- course-materials
- deep-learning
- deep-reinforcement-learning
All course materials for the Zero to Mastery Deep Learning with TensorFlow course.
- deep-learning
- deep-neural-networks
- tensorflow
- tensorflow2
T81-558: Keras - Applications of Deep Neural Networks @Washington University in St. Louis
Notebooks for learning deep learning
Python assignments for the machine learning class by andrew ng on coursera with complete submission for grading capability and re-written instructions.
Projects and exercises for the latest Deep Learning ND program https://www.udacity.com/course/deep-learning-nanodegree--nd101
- deep-learning
- neural-network
- convolutional-networks
- pytorch