Why is experiment tracking so important for doing real world machine learning?

At first glance, building and deploying machine learning models looks a lot like writing code. But there are some key differences that make machine learning harder:

  1. Machine Learning projects have far more branching and experimentation than a typical software project.
  2. Machine Learning code generally doesn’t throw errors, it just underperforms…

AI has been making a lot of progress lately by almost any standard. It has quietly become part of our world, powering markets, websites, factories, business processes and soon our houses, our cars and everything around us. But the biggest recent successes have also come with surprising failures. Tesla impressed…

Lukas Biewald

I'm the founder of Weights & Biases. Previously founder of Figure Eight (formerly CrowdFlower).

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