Data Brew by Databricks
En podkast av Databricks - Torsdager
Kategorier:
31 Episoder
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Kumo AI & Relational Deep Learning | Data Brew | Episode 34
Publisert: 14.10.2024 -
LLMs: Internals, Hallucinations, and Applications | Data Brew | Episode 33
Publisert: 21.7.2023 -
Demonstrate–Search–Predict Framework | Data Brew | Episode 32
Publisert: 29.6.2023 -
Generative AI Risks | Data Brew | Episode 31
Publisert: 8.6.2023 -
John Snow Labs & SparkNLP | Data Brew | Episode 30
Publisert: 1.6.2023 -
Data Brew Season 4 Episode 6: Professional Athletes
Publisert: 9.6.2022 -
Data Brew Season 4 Episode 5: Public Health: Education, Access, and Policy
Publisert: 5.5.2022 -
Data Brew Season 4 Episode 4: 1283 Days of Running (and Counting)
Publisert: 14.4.2022 -
Data Brew Season 4 Episode 3: Last Man Standing
Publisert: 31.3.2022 -
Data Brew Season 4 Episode 2: NBA Analytics
Publisert: 10.3.2022 -
Data Brew Season 4 Episode 1: Reducing Injury & Increasing Retention of Industrial Athletes
Publisert: 24.2.2022 -
Data Brew Season 3 Episode 6: Open Source
Publisert: 28.10.2021 -
Data Brew Season 3 Episode 5: Sustainability & Sake
Publisert: 14.10.2021 -
Data Brew Season 3 Episode 4: Executive Education
Publisert: 7.10.2021 -
Data Brew Season 3 Episode 3: 3 T’s to Securing AI Systems: Tests, tests, and more tests
Publisert: 30.9.2021 -
Data Brew Season 3 Episode 1: Disrupt: Challenge your Business Assumptions
Publisert: 16.9.2021 -
Data Brew Season 2 Episode 9: Data Driven Software
Publisert: 21.7.2021 -
Data Brew Season 2 Episode 8: Feature Engineering
Publisert: 9.7.2021 -
Data Brew Season 2 Episode 7: Interpretable Machine Learning
Publisert: 1.7.2021 -
Data Brew Season 2 Episode 6: AutoML
Publisert: 17.6.2021
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.
