13.0 Introduction to Feature Selection (L13: Feature Selection) @SebastianRaschka
13.0 Introduction to Feature Selection (L13: Feature Selection)  @SebastianRaschka
Uploaded December 2021 | Updated September 2026, 2 weeks ago
Sebastian's books: sebastianraschka.com/books

This video gives a brief intro of how we care about dimensionality reduction and introduces feature selection as a subcategory that we will cover in more detail in the upcoming videos.

Slides: sebastianraschka.com/pdf/lecture-notes/stat451fs20/13_feat-sele__slides.pdf

-------

This video is part of my Introduction of Machine Learning course.

Next video: youtu.be/hV_I4Xb9fRg

The complete playlist: youtube.com/playlist?list=PLTKMiZHVd_2KyGirGEvKlniaWeLOHhUF3

A handy overview page with links to the materials: sebastianraschka.com/blog/2021/ml-course.html

-------

If you want to be notified about future videos, please consider subscribing to my channel: youtube.com/c/SebastianRaschka
13.0 Introduction to Feature Selection (L13: Feature Selection)Build A Reasoning Model (From Scratch), Page 198L12.0: Improving Gradient Descent-based Optimization   Lecture OverviewL13.3 Convolutional Neural Network BasicsL8.3 Logistic Regression Loss Derivative and TrainingL12.6 Additional Topics and Research on Optimization AlgorithmsL11.3 BatchNorm in PyTorch   Code ExampleL16.2 A Fully-Connected AutoencoderL16.0 Introduction to Autoencoders   Lecture OverviewL19.4.3 Multi-Head AttentionL14.4.2 All-Convolutional Network in PyTorch   Code ExampleL3.1 About Brains and Neurons
Sebastian Raschka |

13.0 Introduction to Feature Selection (L13: Feature Selection)

SHARE TO X SHARE TO REDDIT SHARE TO FACEBOOK WALLPAPER