Data Brew by Databricks
Un pódcast de Databricks
Categorías:
30 Episodo
-
LLMs: Internals, Hallucinations, and Applications | Data Brew | Season 5 | Episode 4
Publicado: 21/7/2023 -
Demonstrate–Search–Predict Framework | Data Brew | Season 5 | Episode 3
Publicado: 29/6/2023 -
Generative AI Risks | Data Brew | Season 5 | Episode 2
Publicado: 8/6/2023 -
John Snow Labs & SparkNLP | Data Brew | Season 5 | Episode 1
Publicado: 1/6/2023 -
Data Brew Season 4 Episode 6: Professional Athletes
Publicado: 9/6/2022 -
Data Brew Season 4 Episode 5: Public Health: Education, Access, and Policy
Publicado: 5/5/2022 -
Data Brew Season 4 Episode 4: 1283 Days of Running (and Counting)
Publicado: 14/4/2022 -
Data Brew Season 4 Episode 3: Last Man Standing
Publicado: 31/3/2022 -
Data Brew Season 4 Episode 2: NBA Analytics
Publicado: 10/3/2022 -
Data Brew Season 4 Episode 1: Reducing Injury & Increasing Retention of Industrial Athletes
Publicado: 24/2/2022 -
Data Brew Season 3 Episode 6: Open Source
Publicado: 28/10/2021 -
Data Brew Season 3 Episode 5: Sustainability & Sake
Publicado: 14/10/2021 -
Data Brew Season 3 Episode 4: Executive Education
Publicado: 7/10/2021 -
Data Brew Season 3 Episode 3: 3 T’s to Securing AI Systems: Tests, tests, and more tests
Publicado: 30/9/2021 -
Data Brew Season 3 Episode 1: Disrupt: Challenge your Business Assumptions
Publicado: 16/9/2021 -
Data Brew Season 2 Episode 9: Data Driven Software
Publicado: 21/7/2021 -
Data Brew Season 2 Episode 8: Feature Engineering
Publicado: 9/7/2021 -
Data Brew Season 2 Episode 7: Interpretable Machine Learning
Publicado: 1/7/2021 -
Data Brew Season 2 Episode 6: AutoML
Publicado: 17/6/2021 -
Data Brew Season 2 Episode 5: ML Applications
Publicado: 10/6/2021
Welcome to Data Brew by Databricks with Denny and Brooke! In this series, we explore various topics in the data and AI community and interview subject matter experts in data engineering/data science. So join us with your morning brew in hand and get ready to dive deep into data + AI! For this first season, we will be focusing on lakehouses – combining the key features of data warehouses, such as ACID transactions, with the scalability of data lakes, directly against low-cost object stores.