Spacemacs: Combining the best of Emacs and Vim
From the "635: The Perils of Manually Labeling Data for Machine Learning Models" in which @JonKrohnLearns speaks with Shayan Mohanty about the pitfalls of data analysis when bias comes into the equation (spoiler alert: it always does), the importance of the Chomsky hierarchy in data management, and the importance of simulation engines for returning real-time results to users.
Watch, listen to, or read the full episode at https://www.superdatascience.com/635
Видео Spacemacs: Combining the best of Emacs and Vim канала Super Data Science: ML & AI Podcast with Jon Krohn
Watch, listen to, or read the full episode at https://www.superdatascience.com/635
Видео Spacemacs: Combining the best of Emacs and Vim канала Super Data Science: ML & AI Podcast with Jon Krohn
SuperDataScience Podcast Super Data Science Podcast Data Science Jon Krohn hand labeling data manually labeling data labeling data for machine learning machine learning data labeling manual data labeling hand data labeling watchful shayan mohanty shayan mohanty watchful io chomsky hierarchy language bias in data bias in data science bias in machine learning spacemacs emacs vs vim
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19 декабря 2022 г. 16:00:05
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