Категории

13.1 The Different Categories of Feature Selection (L13: Feature Selection)

Опубликовано: 09 Декабрь 2021
на канале: Sebastian Raschka
5,617
108

Sebastian's books: https://sebastianraschka.com/books/

In this video, I am introducing the three main categories of feature selection: filter methods, embedded methods, and wrapper methods.

Slides: https://sebastianraschka.com/pdf/lect...

-------

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

Next video:    • 13.2 Filter Methods for Feature Selec...  

The complete playlist:    • Intro to Machine Learning and Statist...  

A handy overview page with links to the materials: https://sebastianraschka.com/blog/202...

-------

If you want to be notified about future videos, please consider subscribing to my channel:    / sebastianraschka  

Смотрите видео 13.1 The Different Categories of Feature Selection (L13: Feature Selection) онлайн без регистрации, длительностью часов минут секунд в хорошем качестве. Это видео добавил пользователь Sebastian Raschka 09 Декабрь 2021, не забудьте поделиться им ссылкой с друзьями и знакомыми, на нашем сайте его посмотрели 5,617 раз и оно понравилось 108 людям.

play_arrow
11,050
like

ladki bahin yojana new update 27 march | ladki bahin update paise kadhi yenar

ladki bahin yojana new update 27 march | ladki bahin update paise kadhi yenar
play_arrow
3,071
2

Northern Pike Fishing - Guidecam 3.5

Northern Pike Fishing - Guidecam 3.5
play_arrow
3,901
231

190811 BTS LOTTE FAMILY CONCERT - MIC DROP JIN FOCUS

190811 BTS LOTTE FAMILY CONCERT - MIC DROP JIN FOCUS
play_arrow
190
3

Huawei P40 Lite (JNY-LX1) Cracked screen replacement

Huawei P40 Lite (JNY-LX1) Cracked screen replacement
play_arrow
796
8

Пороговый выключатель напряжения (+12в) - AliExpress

Пороговый выключатель напряжения (+12в) - AliExpress
play_arrow
111
1

Киномакс откроют в Краснодаре

Киномакс откроют в Краснодаре
play_arrow
79
3

РАСПАКОВКА! Радиоканальные реле ПОСТОЯННОГО ТОКА!

РАСПАКОВКА! Радиоканальные реле ПОСТОЯННОГО ТОКА!
play_arrow
7,395
364

Note to self: Watch your mouth around Betazoid gift boxes 🙊

Note to self: Watch your mouth around Betazoid gift boxes 🙊

Похожие видео
play_arrow
Building LLMs from the Ground Up: A 3-hour Coding Workshop

Building LLMs from the Ground Up: A 3-hour Coding Workshop
play_arrow
Understanding PyTorch Buffers

Understanding PyTorch Buffers
play_arrow
Developing an LLM: Building, Training, Finetuning

Developing an LLM: Building, Training, Finetuning
play_arrow
Managing Sources of Randomness When Training Deep Neural Networks

Managing Sources of Randomness When Training Deep Neural Networks
play_arrow
Insights from Finetuning LLMs with Low-Rank Adaptation

Insights from Finetuning LLMs with Low-Rank Adaptation
play_arrow
Finetuning Open-Source LLMs

Finetuning Open-Source LLMs
play_arrow
Scaling PyTorch Model Training With Minimal Code Changes

Scaling PyTorch Model Training With Minimal Code Changes
play_arrow
L13.5 What's The Difference Between Cross-Correlation And Convolution?

L13.5 What's The Difference Between Cross-Correlation And Convolution?
play_arrow
Conditional Ordinal Regression for Neural Networks (CORN) With Examples in PyTorch

Conditional Ordinal Regression for Neural Networks (CORN) With Examples in PyTorch
play_arrow
The Three Elements of PyTorch

The Three Elements of PyTorch
play_arrow
Ratings and Rankings -- Using Deep Learning When Class Labels Have A Natural Order

Ratings and Rankings -- Using Deep Learning When Class Labels Have A Natural Order
play_arrow
13.4.5 Sequential Feature Selection -- Code Examples (L13: Feature Selection)

13.4.5 Sequential Feature Selection -- Code Examples (L13: Feature Selection)
play_arrow
13.4.4 Sequential Feature Selection (L13: Feature Selection)

13.4.4 Sequential Feature Selection (L13: Feature Selection)
play_arrow
13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)

13.4.3 Feature Permutation Importance Code Examples (L13: Feature Selection)
play_arrow
13.4.2 Feature Permutation Importance (L13: Feature Selection)

13.4.2 Feature Permutation Importance (L13: Feature Selection)
play_arrow
13.4.1 Recursive Feature Elimination (L13: Feature Selection)

13.4.1 Recursive Feature Elimination (L13: Feature Selection)
play_arrow
13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)

13.3.2 Decision Trees & Random Forest Feature Importance (L13: Feature Selection)
play_arrow
13.3.1 L1-regularized Logistic Regression as Embedded Feature Selection (L13: Feature Selection)

13.3.1 L1-regularized Logistic Regression as Embedded Feature Selection (L13: Feature Selection)
play_arrow
13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection)

13.2 Filter Methods for Feature Selection -- Variance Threshold (L13: Feature Selection)
play_arrow
13.1 The Different Categories of Feature Selection (L13: Feature Selection)

13.1 The Different Categories of Feature Selection (L13: Feature Selection)
play_arrow
13.0 Introduction to Feature Selection (L13: Feature Selection)

13.0 Introduction to Feature Selection (L13: Feature Selection)
play_arrow
Introduction to Generative Adversarial Networks (Tutorial Recording at ISSDL 2021)

Introduction to Generative Adversarial Networks (Tutorial Recording at ISSDL 2021)
play_arrow
Designing Generative Adversarial Networks for Privacy-enhanced Face Recognition (Conference rec.)

Designing Generative Adversarial Networks for Privacy-enhanced Face Recognition (Conference rec.)
play_arrow
L19.5.2.2 GPT-v1: Generative Pre-Trained Transformer

L19.5.2.2 GPT-v1: Generative Pre-Trained Transformer