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![Full Pattern Recognition [PR] Episode 4 - Basics - Optimal Classification Guide](https://i.ytimg.com/vi/2MN_7DpPDkY/mqdefault.jpg)
![Pattern Recognition [PR] Episode 22 - Norm-dependent Gradients Guide](https://i.ytimg.com/vi/iGFnH9DI2bA/mqdefault.jpg)
![Pattern Recognition [PR] Episode 29 - Expectation Maximization - Introduction](https://i.ytimg.com/vi/rZXfFBkJ0aA/mqdefault.jpg)
![Pattern Recognition [PR] Episode 38 - Adaboost & Exponential Loss](https://i.ytimg.com/vi/fwoshNG5QpI/mqdefault.jpg)
![Pattern Recognition [PR] Episode 9 - Logistic Regression - Function Fit](https://i.ytimg.com/vi/hv0R8jktQug/mqdefault.jpg)
![Pattern Recognition [PR] Episode 16 - Regularized Regression](https://i.ytimg.com/vi/1yXuIpv2IW8/mqdefault.jpg)
![Pattern Recognition [PR] Episode 24 - Duality in Optimization](https://i.ytimg.com/vi/h5Up5FzCvWE/mqdefault.jpg)
![Pattern Recognition [PR] Episode 18 - Norm-dependent Regression](https://i.ytimg.com/vi/H6wqBwasWHQ/mqdefault.jpg)
![Pattern Recognition [PR] Episode 5 - The Logistic Function](https://i.ytimg.com/vi/UdtR5ZOMFWE/mqdefault.jpg)
![Pattern Recognition [PR] Episode 8 - Logistic Regression - Loss Function](https://i.ytimg.com/vi/dZQNlV9DCQo/mqdefault.jpg)
