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RES123 Knowledge Discovery und Data Mining

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Manage episode 192232207 series 77250
Content provided by Holger Klein and Holger Klein / Helmholtz-Gemeinschaft. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Holger Klein and Holger Klein / Helmholtz-Gemeinschaft or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Emmanuel Müller ist Inhaber des Lehrstuhls für Knowledge Discovery und Data Mining am Hasso Plattner Institut und Leiter der entsprechenden Fachgruppe am Geoforschungszentrum Potsdam. Er forscht an Algorithmen, mit deren Hilfe sich in großen Datenmengen bisher unbekannte Zusammenhänge finden lassen.

Darin: Wissen, Algorithmen, Maschinelles Lernen, Schwangerschaftswerbung nach Data Mining, Genomanalyse, Graphen, Lineare Algebra, Youth Academy, Standardabweichung, Neuronale Netze, Deep Learning, Random Forest, Open-HPI: Big Data Analytics

Download: mp3 (32 MB) m4a (26 MB) opus (17 MB)

Veröffentlicht am 24.11.2017
Dauer: 1 Stunde 8 Minuten
Lizenz: CC-BY 4.0
Downloads: 39.014

Mehr zum Thema:
122 Mal kurz zu Knowledge Discovery
200 RES200 Die Nationale Forschungsdaten-Infrastruktur

Themen: Big Data HPI Informatik Mathematik Computer GFZ

Diese Folge zitieren: Holger Klein/Helmholtz-Gemeinschaft: Resonator-Podcast: "123 Knowledge Discovery und Data Mining". 24.11.2017, https://resonator-podcast.de/2017/res123-knowledge-discovery-und-data-mining/ (CC-BY 4.0)

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Chapters

1. Musik (00:00:00)

2. Einführung (00:00:25)

3. Eine alte Theorie (00:02:38)

4. Vorgehensweise und Korrelationen (00:07:27)

5. Abstraktion (00:15:46)

6. Transparente Algorithmen (00:25:40)

7. Graphen (00:34:35)

8. Hardware (00:42:10)

9. Aus- und Fortbildung (00:50:33)

10. Beruflicher Werdegang (00:55:00)

11. Neuronale Netze (01:01:10)

205 episodes

Artwork

RES123 Knowledge Discovery und Data Mining

Resonator

11,053 subscribers

published

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Manage episode 192232207 series 77250
Content provided by Holger Klein and Holger Klein / Helmholtz-Gemeinschaft. All podcast content including episodes, graphics, and podcast descriptions are uploaded and provided directly by Holger Klein and Holger Klein / Helmholtz-Gemeinschaft or their podcast platform partner. If you believe someone is using your copyrighted work without your permission, you can follow the process outlined here https://player.fm/legal.

Emmanuel Müller ist Inhaber des Lehrstuhls für Knowledge Discovery und Data Mining am Hasso Plattner Institut und Leiter der entsprechenden Fachgruppe am Geoforschungszentrum Potsdam. Er forscht an Algorithmen, mit deren Hilfe sich in großen Datenmengen bisher unbekannte Zusammenhänge finden lassen.

Darin: Wissen, Algorithmen, Maschinelles Lernen, Schwangerschaftswerbung nach Data Mining, Genomanalyse, Graphen, Lineare Algebra, Youth Academy, Standardabweichung, Neuronale Netze, Deep Learning, Random Forest, Open-HPI: Big Data Analytics

Download: mp3 (32 MB) m4a (26 MB) opus (17 MB)

Veröffentlicht am 24.11.2017
Dauer: 1 Stunde 8 Minuten
Lizenz: CC-BY 4.0
Downloads: 39.014

Mehr zum Thema:
122 Mal kurz zu Knowledge Discovery
200 RES200 Die Nationale Forschungsdaten-Infrastruktur

Themen: Big Data HPI Informatik Mathematik Computer GFZ

Diese Folge zitieren: Holger Klein/Helmholtz-Gemeinschaft: Resonator-Podcast: "123 Knowledge Discovery und Data Mining". 24.11.2017, https://resonator-podcast.de/2017/res123-knowledge-discovery-und-data-mining/ (CC-BY 4.0)

Impressum | Datenschutz

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  continue reading

Chapters

1. Musik (00:00:00)

2. Einführung (00:00:25)

3. Eine alte Theorie (00:02:38)

4. Vorgehensweise und Korrelationen (00:07:27)

5. Abstraktion (00:15:46)

6. Transparente Algorithmen (00:25:40)

7. Graphen (00:34:35)

8. Hardware (00:42:10)

9. Aus- und Fortbildung (00:50:33)

10. Beruflicher Werdegang (00:55:00)

11. Neuronale Netze (01:01:10)

205 episodes

All episodes

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