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The 10 Second Rule - How to Maximize Your Productivity in Machine Learning - Livestream

In How to Do Machine Learning Efficiently, Radek Osmulski proposes a rule: Do not ever allow calculations to exceed 10 seconds while you work on a problem. This rule bears repeating. It has profound implications. When you implement this rule, your work shifts toward short, iterative cycles that keep you focused on experimentation and continual improvement.

Implementing the 10 second rule is hard. Many operations take far, far longer! It's a technical challenge to keep operations running fast and also executing a full, representative code path.

In this talk, Garrett Smith, founder of the open source experiment tracking tool Guild AI, shares his thoughts about the 10 second rule. He compares it to the now ubiquitous best practice of Test Driven Development in traditional software. He outlines several strategies to implement the rule using real world examples. He shows how this simple rule transforms data science work, dramatically improving productivity and model quality.


4:50 pm - 5:00 pm Arrival and socializing
5:00 pm - 5:10 pm Opening
5:10 pm - 6:50 pm Garrett Smith, "The 10 Second Rule - How to Maximize Your Productivity in ML"
6:50 pm - 7:00 pm Q&A

Zoom Link
Webinar ID: 843-8455-9137

Wednesday, 08/12/20



Phone: +1(408)4754348
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