Category: experimentation
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Reducing Time to Value for Data Science Projects: Part 3
Reducing Time to Value for Data Science Projects: Part 3 Setting up a robust experimentation process The post Reducing Time to Value for Data Science Projects: Part 3 appeared first on Towards Data Science. Kristopher McGlinchey Go to original source
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Reducing Time to Value for Data Science Projects: Part 2
Reducing Time to Value for Data Science Projects: Part 2 Leveraging automation and parallelism to scale out experiments The post Reducing Time to Value for Data Science Projects: Part 2 appeared first on Towards Data Science. Kristopher McGlinchey Go to original source
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Stop the Count! Why Putting A Time Limit on Metrics is Critical for Fast and Accurate Experiments
Stop the Count! Why Putting A Time Limit on Metrics is Critical for Fast and Accurate Experiments Why your experiments might never reach significance Photo by Andrik Langfield on Unsplash Introduction Experiments usually compare the frequency of an event (or some other sum metric) after either exposure (treatment) or non-exposure (control) to some intervention. For example:…
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Machine Learning Experiments Done Right
Machine Learning Experiments Done Right A detailed guideline for designing machine learning experiments that produce reliable, reproducible results. Photo by Vedrana Filipović on Unsplash Machine learning (ML) practitioners run experiments to compare the effectiveness of methods for both specific applications and for general types of problems. The validity of experimental results hinges on how practitioners design,…