#33 Advanced Topics in Neural Networks |ML|
5:48
#35 Sample Error and True Error In estimating accuracy of Hypothesis |ML|
10:18
#23 Introduction to Artificial Neural Networks & their Representation of Neural Networks |ML|
12:17
#34 Evaluating The Hypothesis - Motivation, Estimating Hypothesis Accuracy |ML|
2:22:38
Uzak Şehir 12. Bölüm
12:52
#10 Concept Learning - Introduction, Concept Learning As Task |ML|
34:32
Physics Informed Neural Networks (PINNs) [Physics Informed Machine Learning]
9:24
#39 Bayes Theorem - With Proof & Example |ML|
26:14