14 XGBoost: The Winner of Many Competitions

Machine Learning with Coffee

Indhold leveret af Gustavo Lujan. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Gustavo Lujan eller deres podcastplatformspartner. Hvis du mener, at nogen bruger dit ophavsretligt beskyttede værk uden din tilladelse, kan du følge processen beskrevet her https://da.player.fm/legal.

3+ y ago 13:50

MP3•Episode hjem

Arkiveret serie ("Inaktivt feed" status)

When? This feed was archived on August 01, 2022 22:32 (1+ y ago). Last successful fetch was on February 18, 2022 09:16 (2y ago)

Why? Inaktivt feed status. Vores servere kunne ikke hente et gyldigt podcast-feed i en længere periode.

What now? You might be able to find a more up-to-date version using the search function. This series will no longer be checked for updates. If you believe this to be in error, please check if the publisher's feed link below is valid and contact support to request the feed be restored or if you have any other concerns about this.

XGBoost is an open-source software library which has won several Machine Learning competitions in Kaggle. It is based on the principles of gradient boosting, which is based on the ideas of the Leo Breiman, the creator of Random Forest. The theory behind gradient boosting was later formalized by Jerome H. Friedman. Gradient boosting combines weak learners just as Random Forest. XGBoost is an engineering implementation which includes a clever penalization of trees and a proportional shrinking of leaf nodes.

20 episoder

#Tech #Careers #Business #News #Tech News #Gustavo Lujan #Machine Learning #Data Science #Big Data #Artificial Intelligence #Business Intelligence #Business Analytics #Deep Learning #Artificial Neural Networks #Data