Data Brew

Databricks Machine Learning

Erin Ledell on AutoML

Databricks hosts this great show, called Data Brew and this episode they cover AutoML. Erin LeDell shares valuable insight on AutoML, what problems are best solved by it, its current limitations, and her thoughts on the future of AutoML. We also discuss founding and growing the Women in Machine Learning and Data Science (WiMLDS) non-profit.

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Databricks

ML Applications. Data Brew

For the second season of Databricks’ 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. Good machine learning starts with high quality data. Irina Malkova shares […]

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Data Ethics

Data Brew on Data Ethics

Here’s an interesting talk on ethics in data from the Data Brew podcast.

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Big Data Databricks Spark

Michael Armbrust Demystifies Delta Lakes

On the latest episode of Data Brew, Denny Lee talks to Michael Armbrust about Delta Lake. Delta Lake is an open source storage layer that brings reliability to data lakes. Delta Lake offers ACID transactions, scalable metadata handling, and unifies streaming and batch data processing. It runs on top of your existing data lake and […]

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Databricks

Databricks Launches New Web Series on Lakehouses

Databricks just launched a new web series: Data Brew and this is the first episode. 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. In our inaugural episode, we’d like to […]

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