Тёмный

Linear Discriminant Analysis | LDA in Machine Learning | LDA Theory | Satyajit Pattnaik 

Satyajit Pattnaik
Подписаться 84 тыс.
Просмотров 10 тыс.
50% 1

Опубликовано:

 

21 окт 2024

Поделиться:

Ссылка:

Скачать:

Готовим ссылку...

Добавить в:

Мой плейлист
Посмотреть позже
Комментарии : 9   
@SatyajitPattnaik
@SatyajitPattnaik 4 года назад
Entire Playlist: ru-vid.com/group/PLymcv5WXEpKjnWi7PMp2nul74TVXJ8q3E
@aakash8010
@aakash8010 10 месяцев назад
The only solution i found. Thanks sir
@amishasingh8650
@amishasingh8650 2 года назад
Sir, your content is very awesome. I have followed your all tutorials and I have got selected as a business analyst in byjus. This is very underrated RU-vid channel Sir but you are genius sir. Sir please keep it up and providing us such kind of best contant.
@surabhinair4158
@surabhinair4158 9 месяцев назад
Good evening Sir, Its very informative one. Here is one doubt Sir. All the calculations are done here. But how can we know that the predicted class according to these values Could you please answer me. If you do it's very useful to me Thank you
@CNBvolgs
@CNBvolgs Год назад
All RU-vidr solving only one problem....but why there is no other problems
@SatyajitPattnaik
@SatyajitPattnaik Год назад
This is a 2years old video, what use case u want me to solve, give me i will solve and make a video 😉
@RinkiSingh-ph6oo
@RinkiSingh-ph6oo 2 года назад
wonderful explanation....pls share ur maid id for future reference👃pls sir
@l.sanathoising9508
@l.sanathoising9508 4 месяца назад
Sir at the last part u mention feature vector on the graph . Are those data points feature vector or or what? Please clarify
@SatyajitPattnaik
@SatyajitPattnaik 4 месяца назад
Yes feature vectors
Далее
How to get skins for FREE? #standoff #skins #coins
00:34
#kikakim
00:17
Просмотров 7 млн
Lecture 23 (Linear & Quadratic Decision Boundaries)
46:06
Supervised Learning and Linear Discriminants
19:05
Просмотров 6 тыс.
Linear discriminant analysis (LDA) - simply explained
24:26
Linear Discriminant Analysis (LDA) made easy
20:24
Просмотров 19 тыс.