Intro zu den klassischen ML-Methoden
Author
Participating institute
Institut für Technik der Informationsverarbeitung (ITIV)
Zentrum für Mediales Lernen (ZML)
Fakultät für Elektrotechnik und Informationstechnik (ETIT)
Zentrale Einrichtungen (Zentrale Einrichtungen)
Genre
Description
- 00:00:00 Start
- 00:01:38 Decision Trees
- 00:03:18 K-Nearest Neighbors
- 00:04:37 K-means
- 00:05:21 Zusammenfassung
Duration (hh:mm:ss)
00:06:28
Series
Angewandte Machine Learning Algorithmen (AMALEA)
Published on
19.10.2021
Subject area
License
| Resolution | 1280 x 720 Pixel |
| Aspect ratio | 16:9 |
| Audio bitrate | 123007 bps |
| Audio channels | 2 |
| Audio Codec | aac |
| Audio Sample Rate | 48000 Hz |
| Total Bitrate | 928326 bps |
| Color Space | yuv420p |
| Container | mov,mp4,m4a,3gp,3g2,mj2 |
| Media Type | video/mp4 |
| Duration | 388 s |
| Filename | DIVA-2021-425_hd.mp4 |
| File Size | 45.005.251 byte |
| Frame Rate | 25 |
| Video Bitrate | 799227 bps |
| Video Codec | h264 |
Media URL
Embed Code
Angewandte Machine Learning Algorithmen (AMALEA)
Episodes 1-24
of 24
