Machine Learning

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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

Responsibly Deploy AI in Production with Anupam Datta

Once a machine learning model is trained and validated, it often feels like a major milestone has been achieved.  In reality, it’s more like the first lap in a relay race.  Deploying