12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
- ml
- data-science
- machine-learning
- machine-learning-algorithms
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12 weeks, 26 lessons, 52 quizzes, classic Machine Learning for all
Course to get into Large Language Models (LLMs) with roadmaps and Colab notebooks.
Learn AI Engineering! Learn it. Build it. Ship it for others.
12 Weeks, 24 Lessons, AI for All!
Learn how to develop, deploy and iterate on production-grade ML applications.
TranslatedPersonal notes on Professor Andrew Ng's machine learning course
Machine Learning Systems: Foundations, Scaling, Agentic AI, and Physical AI (Vols I–IV) • Harvard CS249r | https://mlsysbook.ai
Translated100-Days-Of-ML-Code Chinese version
Materials for the Learn PyTorch for Deep Learning: Zero to Mastery course.
Oxford Deep NLP 2017 course
Free MLOps course from DataTalks.Club. Register here 👇🏼 to get notified about the next cohort
Learn ML engineering for free in 4 months! Register here 👇🏼
TranslatedAI learning roadmap, compiling nearly 200 hands-on cases and projects, with free accompanying teaching materials, for beginners with zero background, focused on job-ready practice! Covers: Python, mathematics, machine learning, data analysis, deep learning, computer vision, natural language processing, PyTorch tensorflow machine-learning,deep-learning data-analysis data-mining mathematics data-science artificial-intelligence python tensorflow tensorflow2 caffe keras pytorch algorithm numpy pandas matplotlib seaborn nlp cv and other popular fields
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
Open Machine Learning Course
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Don't memorize ML. Understand it from first principles including Inference, Cuda, Deep Learning, Data Science and Reinforcement Learning
Free Course : Data, Machine Learning, Deep Learning and AI Engineering, the long way round: the math, the code, the systems and the security. 173 lessons, 166 runnable labs, no shortcuts. Free under CC BY-NC 4.0.