[CSCI S-80] Lecture 4 now available

Hi all, Lecture 4: Learning <https://cs50.harvard.edu/summer/ai/2020/lectures/4/> is now available on the course website. In this part of the course, we introduce the domain of machine learning, looking at techniques that allow our AI to learn how to perform a task, without explicit instructions for how to do so. This week, we'll introduce three broad categories of machine learning: supervised learning, reinforcement learning, and unsupervised learning. In the first part of this project, you'll build a classifier to predict user behavior on an online shopping website, taking advantage of supervised learning techniques in scikit-learn <https://scikit-learn.org/>. In the second part of the project, you'll use reinforcement learning to design an AI to teach itself how to win at Nim <https://en.wikipedia.org/wiki/Nim>: through repeatedly playing games against itself, the AI will over time learn which moves are better than others. A few other important announcements for this week: - Quiz 4 <https://cs50.harvard.edu/summer/ai/2020/quizzes/4/> is now available and is due by 11:59pm ET on Wed 7/22. As a reminder, each quiz is open-book: you may use any and all non-human resources during a quiz, but the only humans to whom you may turn for help or from whom you may receive help are the course’s heads. And remember to submit your quiz via Gradescope as well! - Project 4 <https://cs50.harvard.edu/summer/ai/2020/projects/4/> is now available as well and is due by 11:59pm ET on Sun 7/26. - Sections <https://cs50.harvard.edu/summer/ai/2020/sections/> this week will be an opportunity to talk more about machine learning. You're encouraged to attend if you can! As always, feel free to reach out to me or any of the course staff with any questions! All the best, Brian