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If you want to learn about privacy-preserving machine learning, then there is no better resource than this step-by-step notebook tutorial by Andrew Trask
.

From the basics of private deep learning to building secure ML classifiers using PyTorch & PySyft.
https://github.com/OpenMined/PySyft/tree/master/examples/tutorials

❇️ @AI_Python_EN



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If you want to learn about privacy-preserving machine learning, then there is no better resource than this step-by-step notebook tutorial by Andrew Trask
.

From the basics of private deep learning to building secure ML classifiers using PyTorch & PySyft.
https://github.com/OpenMined/PySyft/tree/master/examples/tutorials

❇️ @AI_Python_EN

BY AI, Python, Cognitive Neuroscience


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AI Python Cognitive Neuroscience Telegram | DID YOU KNOW?

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Telegram is riding high, adding tens of million of users this year. Now the bill is coming due.Telegram is one of the few significant social-media challengers to Facebook Inc., FB -1.90% on a trajectory toward one billion users active each month by the end of 2022, up from roughly 550 million today.

What is Telegram?

Telegram’s stand out feature is its encryption scheme that keeps messages and media secure in transit. The scheme is known as MTProto and is based on 256-bit AES encryption, RSA encryption, and Diffie-Hellman key exchange. The result of this complicated and technical-sounding jargon? A messaging service that claims to keep your data safe.Why do we say claims? When dealing with security, you always want to leave room for scrutiny, and a few cryptography experts have criticized the system. Overall, any level of encryption is better than none, but a level of discretion should always be observed with any online connected system, even Telegram.

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Telegram AI, Python, Cognitive Neuroscience
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