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Atharva
Atharva

Atharva

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From Machine learning fundamentals (I): Cost functions and gradient descent by Conor McDonald

…ost function, you may naturally wonder how the cost function is minimized — enter gradient descent. Gradient descent is an efficient optimization algorithm that attempts to find a local or global minima of a function. There are hundreds of explanations of gradient descent out there, so I won’t dwell on it for too l…

From The four data science skills I didn’t learn in grad school (and how to learn them!) by Rachael Tatman

One of the first new terms I learned working in an industry setting was MVP, or “Minimum Viable Product”. The idea is that you share something w…

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Machine Learning is Fun! Part 2

Adam Geitgey

The AI Hierarchy of Needs

Monica Rogati

Why so many data scientists are leaving their jobs

Jonny Brooks-Bartlett