Creează un cont pentru a te abona la acest blog și a-i urmări articolele pe pagina Lectură.
-
Feature Selection: A Primer
Feature Selection: A Primer Why Feature Selection?
-
Recommender Systems
Recommender Systems Related Papers: https://arxiv.org/abs/2302.02579 Making Recommendations In a typical recommender system, you have some number of users as well as some number of items you want to recommend: Movie Alice (1) Bob (2) Carol (3) Dave (4) Lo…
-
Principal Component Analysis
Principal Component Analysis Overview PCA is an unsupervised learning algorithm that lets you take data with a lot of features (50, 1000, etc.) and reduce the number of features considerably, so you can plot and visualize it.
-
Notes on Probability Theory
Probability Theory First Principles Sample space $\Omega$: Set of all possible outcomes of a random experiment.