scikit-learn, every mention
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tap a year for its mentions
every year anyone Chris Wiggins 4Wes McKinney 3Lukas Biewald 2Kurt Rohloff 2Diego Oppenheimer 2Solmaz Shahalizadeh 1Peter Wang 1Nick Schrock 1Florian Douetteau 1Dave Burgess 1
Verbatim, from the transcripts: the passages where scikit-learn comes up
A Conversation with Chris Wiggins - Author of "How Data Happened"
- ▶ 20:55 Chris Wiggins That said, there is also a lot of work being done in AWS, and plenty of developer work happening on Amazon's Cloud, um, so the data stack is, in my team, the data stack is SQL and scikit, and occasionally Go, so it's scikit-learn is, is a…
Fireside Chat: Nick Schrock (Founder & CEO, Elementl) with Matt Turck (Partner, FirstMark)
- ▶ 17:00 Nick Schrock They want to use tools like pandas scikit-learn.
Fireside Chat: Dave Burgess (Head of Data Engineering, Pinterest) w/ Matt Turck (Partner, FirstMark)
- ▶ 16:07 Dave Burgess We use PyTorch, scikit-learn.
Fireside Chat: Wes McKinney (Founder & CEO, Ursa Computing) with Matt Turck (Partner, FirstMark)
- ▶ 3:00 Wes McKinney So extracting, uh, extracting features from, from data sets and kind of all of that, that munging and, and, uh, and, uh, data work that that's needed before you can feed the data into a machine learning model, you know, TensorFlow…
- ▶ 6:08 Wes McKinney We needed to be able to do machine learning that came from scikit-learn, which was developed around the same time. 2 times in the scene
Fireside Chat: Alok Gupta (Head of Data Science & ML, DoorDash) with Matt Turck (Partner, FirstMark)
- ▶ 7:31 Alok Gupta A lot of it will be, um, off the shelf Python, um, ML libraries like scikit-learn, um,
Data Science Is A Literacy, Not A Job // Peter Wang, Anaconda (FirstMark's Data Driven NYC)
- ▶ 1:11 Peter Wang So, like, we have a couple of, um, a couple of the core maintainers for Pandas are full-time developers, and they're just paid to work on Pandas, and same thing with scikit-learn.
Computing On Encrypted Data // Kurt Rohloff, Duality (Firstmark's Data Driven NYC)
- ▶ 8:43 Kurt Rohloff Scikit-learn, TensorFlow, ah, machine learning models, and, ah, you know, even things as simple as regression and basic statistical type, um, analytics, and run analytics on data while it's encrypted. 2 times in the scene
Fireside Chat: Solmaz Shahalizadeh, VP of Data Science & Engineering at Shopify (Data Driven NYC)
- ▶ 29:55 Solmaz Shahalizadeh So when the, when they are starting, we of course want them to understand the sort of basics of how classification would work, how clustering would, like, supervise, unsupervised, that, but many of these things are, like, openly available,…
The Launch of Dataiku 5 // Florian Douetteau, Dataiku (FirstMark's Data Driven NYC)
- ▶ 21:18 Florian Douetteau Meaning we provide an, I think it's interesting to have an, um, a smooth transition pass from one framework to another, from scikit to TensorFlow from, and whatever else comes next.
Building an Operating System for AI // Diego Oppenheimer, Algorithmia (FirstMark's Data Driven)
- ▶ 4:49 Diego Oppenheimer Maybe you're using scikit-learn.
- ▶ 15:30 Diego Oppenheimer Maybe I start in Python and scikit-learn.
Lukas Biewald, CrowdFlower // Enriching Your Data (Hosted by FirstMark Capital)
- ▶ 1:33 Lukas Biewald This is a sentiment task using scikit-learn with Naive Bayes, a maximum entropy model, and an SVM. 2 times in the scene
Chris Wiggins, NY Times // Data Science at The New York Times (Hosted by FirstMark Capital)
- ▶ 18:07 Chris Wiggins We use a lot of Python and scikit-learn. 2 times in the scene
- ▶ 26:24 Chris Wiggins So, um, one thing that I think we all can, you know, sort of raise the bar in our understanding of data literacies is to say, perhaps having a data literate society doesn't mean that everybody learns to code and that everybody knows…