Knowledge in Mathematics of machine learning
yash pal
ML introduction, Linear Classification and Perception
Machine learning part1
Tanmay Mondal
Perceptron convergence and updation
Machine learning part 2
Maximum margin classification
Machine learning part 3
Linear regression, estimator bias and variance, active learning
Linear regression, estimator bias and variance, active learning
Active learning (cont.), non-linear predictions, kernals
Active learning (cont.), non-linear predictions, kernals
Kernal regression and kernels
Kernal regression and kernels of machine learning
Model selection
Model selection in machine learning
Model selection criteria
Model selection criteria in machine learning
Clustering Machine Learning | Machine learning
Clustering Machine Learning | Machine learning
Kunal Shah