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