Data science gets more "human"
There are concepts that data science and machine learning better be comfortable with. Most of such concepts belong to the human world, rather than the synthetic one.
While there are charlatans (re)introducing the metaverse - as if there were just one of them - some other folks have realised that our beloved data science and ML fields should undergo a “revolution” from the ground up.
Many have concluded that it is time to get serious about ethics and explainability, privacy and confidentiality, data ownership and sharing.
We have been listening and interviewing some of the most influential people on such topics, and we would love to share the love ❤️😚💋
So, here are some episodes we believe will make your commute sweet.
By the way, are you back to commuting? Let us know on our Discord channel.
Now, let’s get started!
How are organisations doing with data and AI? (Ep. 168)
Speaking about data with Mikkel Settnes from Dreamdata.io (Ep. 170)
AI in the Enterprise with IBM Global AI Strategist Mara Pometti (Ep. 171)
Ethics and explainability in AI with Erika Agostinelli from IBM (ep. 174)
About this Podcast
Data Science at Home is a podcast about machine learning, artificial intelligence and algorithms. The show is hosted by Dr. Francesco Gadaleta on solo episodes and interviews with some of the most influential figures in the field.
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