Feature Selection: A Primer
My shot at explaining the statistical intuition behind the most common filter methods in Data Science and ML.
Ikrom Numonov’s Blog
Notes on Machine Learning, Software Development, and other topics.
Latest posts
Notes on Probability Theory
My college notes on probability theory, including discrete/continuous random variables and distributions, conditional probability and independence, expectation, limits, random walks and more. Most of the notes are from the book 'Probability with Applications and R' by Wagaman and Dobrow. If you have the chance, I highly recommend reading the book or going through its problems.
Principal Component Analysis
These are my notes on Principal Component Analysis (PCA), with the algorithm and implementation in Python.
Recommender Systems
My college notes on recommender systems, including the making recommendations, collaborative filtering, content-based filtering, deep learning for content-based filtering and more.