AI 101 | Electrical Engineering and Computer Science | MIT OpenCourseWare

Browse Course Material Video Presentation Supporting Materials Course Info Instructor Brandon Leshchinskiy Departments Electrical Engineering and Computer Science As Taught In Fall 2021 Level Undergraduate Course Info Instructor Brandon Leshchinskiy Departments Electrical Engineering and Computer Science As Taught In Fall 2021 Level Undergraduate Topics Engineering Computer Science Artificial Intelligence Topics Data Science, Analytics & Computer Technology AI Computer Science Machine Learning Engineering Learning Resource Types edit_note Editable Files theaters Video Materials Download Course menu search search Give Now About OCW Help & Faqs Contact Us search search GIVE NOW about ocw help & faqs contact us RES.6-013 | Fall 2021 | Undergraduate AI 101 Menu Video Presentation Supporting Materials Course Description Machine vision. Data wrangling. Reinforcement learning. What do these terms even mean? In AI 101, MIT researcher Brandon Leshchinskiy offers an introduction to artificial intelligence that’s designed specifically for those with little to no background in the subject. The workshop starts with a summary of key …Show more Machine vision. Data wrangling. Reinforcement learning. What do these terms even mean? In AI 101, MIT researcher Brandon Leshchinskiy offers an introduction to artificial intelligence that’s designed specifically for those with little to no background in the subject. The workshop starts with a summary of key concepts in AI, followed by an interactive exercise where participants train their own algorithm. Finally, it closes with a summary of key takeaways and Q/A. All are welcome!Show less Course Info Instructor Brandon Leshchinskiy Departments Electrical Engineering and Computer Science Topics Engineering Computer Science Artificial Intelligence Course Info Instructor Brandon Leshchinskiy Departments Electrical Engineering and Computer Science Topics Data Science, Analytics & Computer Technology AI Computer Science Machine Learning Engineering Learning Resource Types edit_note Editable Files theaters Video Materials Classification of images is one common application of machine learning. (Image by MIT OpenCourseWare based on photos by Andrea Pineda (CC BY-NC-SA), Driton Avdyli (CC BY-NC-SA), and Tom Houslay (CC BY-NC), all on Flickr.) Download Course Over 2,500 courses & materials Freely sharing knowledge with learners and educators around the world. Learn more © 2001–2026 Massachusetts Institute of Technology Accessibility Creative Commons License Terms and Conditions Proud member of: © 2001–2026 Massachusetts Institute of Technology You are leaving MIT OpenCourseWare close Please be advised that external sites may have terms and conditions, including license rights, that differ from ours. MIT OCW is not responsible for any content on third party sites, nor does a link suggest an endorsement of those sites and/or their content. Stay Here Continue