Data Brew Season 2 Episode 4: Hyperparameter And Neural Architecture Search Data Brew By Databricks podcast

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Data Brew Season 2 Episode 4: Hyperparameter and Neural Architecture Search

3+ y ago 33:25

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MP3•Episode hjem

Indhold leveret af Databricks. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Databricks 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.

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more.
Liam Li is a leading researcher in the fields of hyperparameter optimization and neural architecture search, and is the author of the seminal Hyperband paper. In this session, Liam discusses the evolution of hyperparameter optimization techniques and illustrates how every data scientist can benefit from neural architecture search.
See more at databricks.com/data-brew

… continue reading

33 episoder

#Databricks #Data Analytics #Apache Spark #Delta Lake #Machine Learning #Data Engineering #Artificial Intelligence #Tech #Data Science #Science #Lifestyle #Podcasting Education

Artwork

Data Brew Season 2 Episode 4: Hyperparameter and Neural Architecture Search

Data Brew by Databricks

68 subscribers

published 3+ y ago

Del

MP3•Episode hjem

Indhold leveret af Databricks. Alt podcastindhold inklusive episoder, grafik og podcastbeskrivelser uploades og leveres direkte af Databricks 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.

For our second season of Data Brew, we will be focusing on machine learning, from research to production. We will interview folks in academia and industry to discuss topics such as data ethics, production-grade infrastructure for ML, hyperparameter tuning, AutoML, and many more.
Liam Li is a leading researcher in the fields of hyperparameter optimization and neural architecture search, and is the author of the seminal Hyperband paper. In this session, Liam discusses the evolution of hyperparameter optimization techniques and illustrates how every data scientist can benefit from neural architecture search.
See more at databricks.com/data-brew

… continue reading

33 episoder

#Databricks #Data Analytics #Apache Spark #Delta Lake #Machine Learning #Data Engineering #Artificial Intelligence #Tech #Data Science #Science #Lifestyle #Podcasting Education

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