Dive into the world of Data Science at Home with our latest episode, where we explore the dynamic relationship between Artificial Intelligence and the redemption of open source software. In this thought-provoking discussion, I share my insights on why now, more than ever, is the opportune moment for open source to leave an indelible mark on the field of AI. Join me as I unpack my opinions and set expectations for the near future, discussing the pivotal role open source is set to play in shaping the landscape of data science and artificial intelligence. Don't miss out—tune in to gain a deeper understanding of this revolutionary intersection!
This episode is available as YouTube stream at https://www.youtube.com/live/0Enenz1HqIs?si=woyYdjJVz656BneH&t=915
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Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)
Is neural hash by Apple violating our privacy? (Ep. 173)
Fighting Climate Change as a Technologist (Ep. 172)
AI in the Enterprise with IBM Global AI Strategist Mara Pometti (Ep. 171)
Speaking about data with Mikkel Settnes from Dreamdata.io (Ep. 170)
Send compute to data with POSH data-aware shell (Ep. 169)
How are organisations doing with data and AI? (Ep. 168)
Don't fight! Cooperate. Generative Teaching Networks (Ep. 167)
CSV sucks. Here is why. (Ep. 166)
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What's happening with AI today? (Ep. 164)
2 effective ways to explain your predictions (Ep. 163)
The Netflix challenge. Fair or what? (Ep. 162)
Artificial Intelligence for Blockchains with Jonathan Ward CTO of Fetch AI (Ep. 161)
Apache Arrow, Ballista and Big Data in Rust with Andy Grove RB (Ep. 160)
GitHub Copilot: yay or nay? (Ep. 159)
Pandas vs Rust [RB] (Ep. 158)
A simple trick for very unbalanced data (Ep. 157)
Time to take your data back with Tapmydata (Ep. 156)
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