Data Science at Home is a technology podcast hosted by Francesco Gadaleta.
Partially Derivative
Partially Derivative covers data topics through a podcast archive, with the site noting its last episode.
About Partially Derivative
Partially Derivative is a web archive of a data-focused podcast hosted by Chris and Vidya. Episodes cover topics such as artificial intelligence, deep learning, p-values in science, bots, art, genetic data, and data science careers, with short descriptions and references to related material.
The site lists the 5 September 2017 "End Of Era" episode as the last episode for now, so it functions as an archive rather than an active series.
Key features
- Archived podcast episodes on data science and artificial intelligence
- Discussions on deep learning uses, limits, and future directions
- Episodes on p-values, bots, art, and genetic data
- Episode guidance on starting a career in data science
- Notes pointing to data community projects and collaborators
Best for: People looking for archived podcast discussions of data, AI, and machine learning topics.
Good for
- Covers varied data topics in one archive
- Episode entries include descriptions and references to related material
- Episodes are dated and attributed for browsing
Watch out for
- Lists 5 September 2017 as the last episode for now, indicating no ongoing updates
Partially Derivative at a glance
- Website
- partiallyderivative.com
- Category
- News & Media › Technology Magazines
- Type
- Website
- Pricing
- Not confirmed. Check the site
- Platforms
- Web
- Open source
- Not stated
- Language
- Portuguese
- Last checked
- Oct 5, 2026 · Online when checked
- Listed
- Oct 5, 2026
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Partially Derivative FAQ
Is Partially Derivative still releasing episodes?
The site labels the 5 September 2017 "End Of Era" entry as the last episode for now.
Who hosts the episodes?
The episode descriptions name Chris and Vidya as the speakers.
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Tell us and an editor will check it.
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