Machine Learning

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Data-Centric AI with Alex Ratner

Companies have high hopes for Machine learning and AI to support real-time product offerings, prevent fraud and drive innovation. But there was a catch – training models require

Engineering Insights with Christina Forney

As Companies scale and their codebase becomes large, it can become difficult to measure team effectiveness. With so many moving pieces, and an increased lack of visibility, Engineering

Practical Machine Learning in JavaScript with Charlie Gerard

Originally published on January 1, 2022. Charlie Gerard is an incredibly productive developer.  In addition to being the author of Practical Machine Learning in JavaScript, her website

Practical Machine Learning in JavaScript with Charlie Gerard

Charlie Gerard is an incredibly productive developer.  In addition to being the author of Practical Machine Learning in JavaScript, her website charliegerard.dev has a long list of

Amplemarket with João Batalha

The lifeblood of most companies is their sales departments.  When you’re selling something other than a commodity, it’s typically necessary to carefully groom the onboarding