Databases are the source of truth for every company. Editing the data in the database normally requires writing a query in SQL or a domain specific querying language–languages that are only accessible to engineers and highly technical people. 

BaseDash is a tool for interfacing with a database without requiring the usage of a query language. It allows the user to interface with the database as easily as a spreadsheet. Max Musing is a founder of BaseDash, and he joins the show to talk about how it works and why he built it.

Databases are the source of truth for every company. Editing the data in the database normally requires writing a query in SQL or a domain specific querying language–languages that are only accessible to engineers and highly technical people. 

BaseDash is a tool for interfacing with a database without requiring the usage of a query language. It allows the user to interface with the database as easily as a spreadsheet. Max Musing is a founder of BaseDash, and he joins the show to talk about how it works and why he built it.

Machine learning models are only as good as the datasets they’re trained on. Aquarium is a system that helps machine learning teams make better models by improving their dataset quality. Model improvement is often made by curating high quality datasets, and Aquarium helps make that a reality. Peter Gao works on Aquarium, and he joins the show to talk through modern machine learning and the role of Aquarium.

Machine learning models are only as good as the datasets they’re trained on. Aquarium is a system that helps machine learning teams make better models by improving their dataset quality. Model improvement is often made by curating high quality datasets, and Aquarium helps make that a reality. Peter Gao works on Aquarium, and he joins the show to talk through modern machine learning and the role of Aquarium.

Ray is a general purpose distributed computing framework. Ray is used for reinforcement learning and other compute intensive tasks. It was developed at the Berkeley RISELab, a research and development lab with an emphasis on practical applications. Ion Stoica is a professor at Berkeley, and he joins the show to talk about the present and future of the Ray framework.

Ray is a general purpose distributed computing framework. Ray is used for reinforcement learning and other compute intensive tasks. It was developed at the Berkeley RISELab, a research and development lab with an emphasis on practical applications. Ion Stoica is a professor at Berkeley, and he joins the show to talk about the present and future of the Ray framework.