2. Optimization Problems
![](https://i.ytimg.com/vi/V_TulH374hw/mqdefault.jpg)
50:11
3. Graph-theoretic Models
![](https://i.ytimg.com/vi/C1lhuz6pZC0/mqdefault.jpg)
40:57
1. Introduction, Optimization Problems (MIT 6.0002 Intro to Computational Thinking and Data Science)
![](https://i.ytimg.com/vi/U41e7hKAAPQ/mqdefault.jpg)
1:48:31
Convex Optimization: An Overview by Stephen Boyd: The 3rd Wook Hyun Kwon Lecture
![](https://i.ytimg.com/vi/h0e2HAPTGF4/mqdefault.jpg)
51:31
11. Makine Öğrenmeye Giriş
![](https://i.ytimg.com/vi/ScX2aBFyrVU/mqdefault.jpg)
53:46
Information Theory, Lecture 1: Defining Entropy and Information - Oxford Mathematics 3rd Yr Lecture
![](https://i.ytimg.com/vi/gA4YXUJX7t8/mqdefault.jpg)
1:20:22
Lecture 2: RPC and Threads
![](https://i.ytimg.com/vi/OgO1gpXSUzU/mqdefault.jpg)
50:05
6. Monte Carlo Simulation
![](https://i.ytimg.com/vi/gEmHmlXrWdU/mqdefault.jpg)
1:41:34