diff --git a/docs/人工智能/CS50.en.md b/docs/人工智能/CS50.en.md new file mode 100644 index 00000000..574071f9 --- /dev/null +++ b/docs/人工智能/CS50.en.md @@ -0,0 +1,22 @@ +# Harvard's CS50: Introduction to AI with Python + +## Descriptions + +- Offered by: Harvard University +- Prerequisites: Basic knowledge of probability theory and Python +- Programming Languages: Python +- Difficulty: 🌟🌟🌟 +- Class Hour: 30 + +This is a pretty course for beginners to AI with 12 eye-catching well-designed programming labs. For every piece of understanding acquired in this course, there will be a proper lab for learners to practice with, leading them to produce a gaming AI by reinforcement learning. Examples include mastering Nim with AI trained by reinforcement learning, or conquering Minesweeper by alpha-beta pruning. No matter who you are, newbie or old-timer, CS50 will definitely be a good place for you to enjoy. + +## Course Resources + +- Course Website: https://cs50.harvard.edu/ai/2020/ +- Recordings: https://cs50.harvard.edu/ai/2020/ +- Textbooks: No textbook is needed in this course. +- Assignments: https://cs50.harvard.edu/ai/2020/ with 12 programming labs of high quality mentioned above. + +## Personal Resources + +All the resources and assignments used by @PKUFlyingPig in this course are maintained in [PKUFlyingPig/cs50_ai - GitHub](https://github.com/PKUFlyingPig/cs50_ai).