6.00SC Introduction to Computer Science and Programming
6.00SC Introduction to Computer Science and Programming (Spring 2011, MIT OCW). Instructor: Professor John Guttag. This subject is aimed at students with little or no programming experience. It aims to provide students with an understanding of the role computation can play in solving problems. It also aims to help students, regardless of their major, to feel justifiably confident of their ability to write small programs that allow them to accomplish useful goals. The class will use the Python programming language. (from ocw.mit.edu)
| Lecture 19 - More Optimization and Clustering |
This lecture continues to discuss optimization in the context of the knapsack problem, and talks about the difference between greedy approaches and optimal approaches. It then moves on to discuss supervised and unsupervised machine learning optimization problems. Most of the time is spent on clustering.
| References |
| More Optimization and Clustering | Unit 2 Resources: Lecture code handout (PDF); Lecture code (PY); Lecture Slides (PDF). Check Yourself. |
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