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Discover amazing ML apps made by the community

It's put up or shut up time for Data Science teams. When the business depends on our work for revenue growth, success is expected. Failure is fatal.

Did you ever get ANGRY on the internet?

I've been meaning to write some more about artificial intelligence, machine learning, and drug discovery, and this paper (open access) by Andreas Bender is an excellent starting point. I'm going to be talking in fairly general terms here, but for practitioners in the field, I can recommend this revi

OpenAI disclosed the problem on GitHub — but released GPT-3 anyway

An in-depth introduction to the field of machine learning, from linear models to deep learning and reinforcement learning, through hands-on Python projects. -- Part of the MITx MicroMasters program in Statistics and Data Science.

Feature stores solve the full set of data management problems encountered when building and operating operational ML applications.

Intuitive explanations of the most popular machine learning models.

The bureaucrats are running the asylum

Researchers have created an AI that is more accurate than humans in determining whether a person is gay or straight just from a handful of photographs. It relies on cues apparently more subtle than most can perceive — cues many would suggest do not exist. The research demonstrates, as it is intended to, a class of threat to privacy that is entirely unique to the era of ubiquitous computer vision.

Winners include the latest Expanse novel, Stranger Things, and Wonder Woman

The most surprising thing about Fortnite is how nice the community seems to be.

Ryan Mac / BuzzFeed: In interview Kogan admits he broke Facebook's ToS but his app was within norms, says he worked on 10+ papers with Pete Fleming, now Instagram's head of research

A leaked discussion reveals the difficult problem of training AI to detect and define slurs

404: File not found Sorry, that doesn't seem to be here This really once was my office door.

Is this the best place to start?