Главная
Study mode:
on
1
FoDA F22 Lecture 18
Description:
Save Big on Coursera Plus. 7,000+ courses at $160 off. Limited Time Only! Grab it Learn about dimensionality reduction techniques in data science through a 51-minute lecture that explores how to work with data matrices and ensure consistent unit measurements across datasets. Master the concepts of one-dimensional projections using dot products and discover how to implement k-dimensional projections with orthogonal basis sets for effective data analysis and transformation.

Dimensionality Reduction: Data Matrices and Projection Methods - Lecture 18

UofU Data Science
Add to list
0:00 / 0:00