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Data science vs. machine learning: What’s the difference?

IBM Big Data Hub

One challenge in applying data science is to identify pertinent business issues. For example, is the problem related to declining revenue or production bottlenecks? Some examples of data science use cases include: An international bank uses ML-powered credit risk models to deliver faster loans over a mobile app.

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From U2F to passkeys

Imperial Violet

It was a pair of standards, one for computers to talk to small removable devices called security keys, and the second a JavaScript API for websites to use them. A password is the most common example of such a secret. And there remain plenty of U2F security keys in use.) The error is called “test of user presence required”.

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Part 1: OMG! Not another digital transformation article! Is it about understanding the business drivers?

ARMA International

Gartner (2021) has two related definitions: Digital Transformation: “can refer to anything from IT modernization (for example, cloud computing), to digital optimization, to the invention of new digital business models.” CDPs apply specialized technologies and pre-built processes that are tailored precisely to meet marketing data needs.

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Redux: compromising Linux using. SNES Ricoh 5A22 processor opcodes?!

Scary Beasts Security

Regarding its 1990 release, Wikipedia notes “the resulting social disturbance led the Japanese government to ask video game manufacturers to schedule future console releases on weekends”. then use PUSHes to overwrite host heap structures and pointers, perhaps with values calculated from the leaky POPs. So we need more Super.

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