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