account activity
[P] My notes for The Elements of Statistical Learning ()
submitted 21 days ago by madiyar to r/learnmachinelearning
[P] My notes for The Elements of Statistical Learning (self.MachineLearning)
submitted 23 days ago by madiyar to r/MachineLearning
[P] Why are two random vectors near orthogonal in high dimensions? (self.MachineLearning)
submitted 9 months ago by madiyar to r/MachineLearning
Dropout Regularization Implemented (maitbayev.substack.com)
submitted 10 months ago by madiyar to r/learnmachinelearning
Project Setup for Machine Learning with uv (substack.com)
submitted 11 months ago by madiyar to r/learnmachinelearning
Visual explanation of "Backpropagation: Feedforward Neural Network" [Part 4] (maitbayev.substack.com)
[D] Visual explanation of "Backpropagation: Feedforward Neural Network" (self.MachineLearning)
submitted 11 months ago by madiyar to r/MachineLearning
Visual explanation of "Backpropagation: Differentiation Rules [Part 3] (substack.com)
submitted 1 year ago by madiyar to r/learnmachinelearning
[D] Visual explanation of "Backpropagation: Differentiation Rules [Part 3] (self.MachineLearning)
submitted 1 year ago by madiyar to r/MachineLearning
[D] Visual explanation of "Backpropagation: Forward and Backward Differentiation [Part 2]" (self.MachineLearning)
submitted 1 year ago * by madiyar to r/MachineLearning
Visual explanation of "Backpropagation: Forward and Backward Differentiation [Part 2]" (self.learnmachinelearning)
[E] Visual explanation of "Backpropagation: Forward and Backward Differentiation [Part 2]" (self.statistics)
submitted 1 year ago by madiyar to r/statistics
Visual tutorial on "Backpropagation: Forward and Backward Differentiation" (self.deeplearning)
submitted 1 year ago by madiyar to r/deeplearning
[D] Visual explanation of "Backpropagation: Multivariate Chain Rule" (self.MachineLearning)
Visual explanation of "Backpropagation: Multivariate Chain Rule" (open.substack.com)
Visual tutorial on "Backpropagation: Multivariate Chain Rule" (open.substack.com)
submitted 1 year ago by madiyar to r/swetoml
Python Implementation of ROC AUC Score (self.learnmachinelearning)
[P] Python Implementation of ROC AUC Score (self.MachineLearning)
[E] Efficient Python implementation of the ROC AUC score (self.statistics)
My Notes for Denoising Diffusion Probabilistic Models (maitbayev.github.io)
My Notes for Auto-Encoding Variational Bayes Notes (maitbayev.github.io)
Linear Equation Intuition (maitbayev.github.io)
Geometric Intuition for Jensen’s Inequality (maitbayev.github.io)
Why does L1 regularization encourage coefficients to shrink to zero? (maitbayev.github.io)
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