Visual Diagnostics for More Informed Machine Learning Within and Beyond Scikit-Learn - PyCon 2016
PyCon 2016 PyCon 2016
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 Published On Jun 16, 2016

"Speaker: Rebecca Bilbro

Visualization has a critical role to play throughout the analytic process. Where static outputs and tabular data may render patterns opaque, human visual analysis can uncover volumes and lead to more robust programming and better data products. For Python programmers who dabble in machine learning, visual diagnostics are a must-have for effective feature analysis, model selection, and evaluation.

Slides can be found at: https://speakerdeck.com/pycon2016 and https://github.com/PyCon/2016-slides"

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