MIT
Jul
10
pchero on July 10th, 2013
[youtube]http://youtu.be/miw2CiKp1r0[/youtube] 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.
Jun
26
pchero on June 26th, 2013
[youtube]http://youtu.be/BRjwkgQct28[/youtube] Lecture 18: Optimization Problems and Algorithms
Jun
14
pchero on June 14th, 2013
[youtube]http://youtu.be/TIQTYgmavC4[/youtube] Lecture 17: Curve Fitting
Jun
11
pchero on June 11th, 2013
Lecture 16: Using Randomness to Solve Non-random Problems [youtube]http://youtu.be/Q148jV9ljPM[/youtube]
Jun
5
pchero on June 5th, 2013
[youtube]http://youtu.be/VqZBqoZgL7k[/youtube] Lecture 15: Statistical Thinking
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