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
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 👇🏼
10 Weeks, 20 Lessons, Data Science for All!
Course Files for Complete Python 3 Bootcamp Course on Udemy
TranslatedAn introductory LLM tutorial for developers, the Chinese version of Andrew Ng's large model course series
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 👇🏼
Python training for business analysts and traders
TranslatedThis project is a tutorial on developing large model applications, aimed at beginner developers. Read it online at: https://datawhalechina.github.io/llm-universe/
Free online textbook of Jupyter notebooks for fast.ai Computational Linear Algebra course
YSDA course in Natural Language Processing
Tutorials, assignments, and competitions for MIT Deep Learning related courses.
Labs and demos for courses for GCP Training (http://cloud.google.com/training).
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.
A course in reinforcement learning in the wild
Machine Learning Foundations: Linear Algebra, Calculus, Statistics & Computer Science
The 3rd edition of course.fast.ai
Learn Agentic AI using Dapr Agentic Cloud Ascent (DACA) Design Pattern and Agent-Native Cloud Technologies: OpenAI Agents SDK, Memory, MCP, A2A, Knowledge Graphs, Dapr, Rancher Desktop, and Kubernetes.
PyTorch入门教程,在线阅读地址:https://datawhalechina.github.io/thorough-pytorch/
A Code-First Introduction to NLP course
免费学代码系列:小白python入门、数据分析data analyst、机器学习machine learning、深度学习deep learning、kaggle实战
Learn how to design, develop, deploy and iterate on production-grade ML applications.