recorded in 2020, this is "pre LLM/ChatGPT", good "classic" ML/AI
CS50's Introduction to Artificial Intelligence with Python @Harvard
This course explores the concepts and algorithms at the foundation of modern artificial intelligence, diving into the ideas that give rise to technologies like game-playing engines, handwriting recognition, and machine translation. Through hands-on projects, students gain exposure to the theory behind graph search algorithms, classification, optimization, machine learning, large language models, and other topics in artificial intelligence as they incorporate them into their own Python programs. By course’s end, students emerge with experience in libraries for machine learning as well as knowledge of artificial intelligence principles that enable them to design intelligent systems of their own.
+ short new addition for original CS50x
AI Assistant: CS50.ai
with support from Microsoft and OpenAI
CS50's adaptation of Codespaces for students and teachers
with these features
- Bash, using
bash - C, using
clangorgcc - C++, using
clangorg++ - Docker, using
docker - Flask, using
flask - HTML, CSS, and JavaScript, using
http-server - Java, using
javacandjava - Lua, using
lua - Node.js, using
node - Python, using
python - R, using
Randrstudio - Ruby, using
ruby - SQLite, using
sqlite3 - X Window System, using
x11vncandnovnc_proxy
Localized for Bulgarian, Chinese, Czech, English, French, German, Hungarian, Italian, Japanese, Korean, Polish, Portuguese, Russian, Spanish, and Turkish.
Environments are based on cs50/codespace, which is based on cs50/cli, which is based on Ubuntu 24.04. Other software can be installed with apt, gem, npm, and pip. Email sysadmins@cs50.harvard.edu with questions.
or browse documentation
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