Intuitive understanding of Extreme Learning Machine
121138
Extreme learning machine: what's it all about?
865
Generalized RBF Kernels
73140
How does a Support Vector Machine (SVM) work?
133323
Intuitive explanation of Lovasz Softmax loss for Image Segmentation problems
60564
Proof of convergence of k-means
41200
Understanding Naive Bayes
86077
A few clarifications regarding convolutional neural networks
112378
Decision boundaries and Gaussian density functions
19145
Validation of machine learning algorithms implementation
104621
On the hardness of data to learn
62512
Understanding ROC curve
103860
Initializing K-means centers by the means of random subsamples of the dataset?
70425
Valid references on origins of Machine Learning, Statistical Learning and Data Mining
133749
Trouble with gradient intuition
141640
Sklearn - Choosing the right model for supervised learning/classification task
65682
Why does universal generalization work? (the rule of inference)
48240
Iterative process for removing extreme samples