Short and sweet for the holiday. Happy Thanksgiving to all of the American readers out there 🦃🦃 !
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This week's best data science articles
McKinsey conducted a survey including 2,100 responses. My primary takeaway is that the enterprise narrative around AI is totally off. AI is not going to optimize the way that existing business models work as a bolt-on improvement to risk management or customer service delivery. AI is going to fundamentally disrupt the business models of pre-AI firms. We’re not talking about optimized flight plans for 747s, we’re talking about self-driving cars and eventually aircraft.
Skip the commentary, but the data is worthwhile.
Have you ever been frustrated with the complicated experience of making charts in Python? We have, so we created Chartify, an open-source Python library that wraps Bokeh to make it easier for data scientists to create charts.
From the team at Spotify Labs. Great stuff! 👏👏
At Fishtown Analytics, we’ve spent a lot of time thinking about how to build a data dictionary product, but much less time thinking about how to go about building a data dictionary. Author Caitlin Hudon writes about compiling a data dictionary almost as an anthropological exercise and presents excellent recommendations for the questions yours needs to answer. Here’s my favorite part:
This is not useful, but a fun demo nonetheless. I desperately need to buy some artwork for the walls of my house and some of the things I’m starting to see come out of the AI art community makes me want to go in that direction. Not sure if my wife will be into it…
Very much worth 3 minutes to play around.
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The internet's most useful data science articles. Curated with ❤️ by Tristan Handy.
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