Hey HN! What does a regular workflow at a startup look like?Probably like this:> One founder talks to customers> Another founder builds> A customer asks for something. The first founder explains it to the second. The second founder explains it to Claude> Two …
The video angered the recipient, Terri Hand, not only because the driver damaged her parcel, but also because of the poor response from the delivery customer service department.
Healthcare, retail, and life sciences teams store large volumes of operational data in Snowflake, but turning it into predictions is hard. In Part 1 of this series, you set up your AWS account and Snowflake environment for a no-code ML workflow with Amazon Sa…
In Part 2 of this no-code ML series, you connect Amazon SageMaker Canvas to Snowflake, prepare and join transaction data with Data Wrangler visual transformations, and train an XGBoost fraud detection model. All without writing machine learning code, laying t…
In Part 3 of this no-code ML series, you bring fraud detection predictions to life. Import your Amazon SageMaker Canvas predictions into Amazon Quick Sight, build interactive dashboards, use generative BI to answer questions in natural language, and publish A…
