Machine Learning Fundamentals in Practice

Core machine learning principles, how to apply them, and how to diagnose when they are performing sub-optimally.

Machine Learning Systems in Production

The infrastructure, systems and algorithmic concepts necessary to scale your machine learning ideas.

Papers and Case Studies

Building an intuition for ML problems by connecting the dots between published experiments.

Industry Observations

Observations about the industry, where it’s headed, and what is required to succeed in the changing landscape.

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