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🔖Interpretable Machine Learning with Python, 2nd Edition: Build explainable, fair, and robust high-performance models with hands-on, real-world examples
Автор: Serg Masis (2023)

Второе издание раскрывает ключевые понятия интерпретации моделей машинного обучения на основе анализа реальных данных, предоставляя вам широкий спектр навыков и инструментов для расшифровки результатов даже самых сложных моделей.

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🔖Interpretable Machine Learning with Python, 2nd Edition: Build explainable, fair, and robust high-performance models with hands-on, real-world examples
Автор: Serg Masis (2023)

Второе издание раскрывает ключевые понятия интерпретации моделей машинного обучения на основе анализа реальных данных, предоставляя вам широкий спектр навыков и инструментов для расшифровки результатов даже самых сложных моделей.

👉 @python_360

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Книги по Python | Books Python Telegram | DID YOU KNOW?

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In many cases, the content resembled that of the marketplaces found on the dark web, a group of hidden websites that are popular among hackers and accessed using specific anonymising software.“We have recently been witnessing a 100 per cent-plus rise in Telegram usage by cybercriminals,” said Tal Samra, cyber threat analyst at Cyberint.The rise in nefarious activity comes as users flocked to the encrypted chat app earlier this year after changes to the privacy policy of Facebook-owned rival WhatsApp prompted many to seek out alternatives.

Why Telegram?

Telegram has no known backdoors and, even though it is come in for criticism for using proprietary encryption methods instead of open-source ones, those have yet to be compromised. While no messaging app can guarantee a 100% impermeable defense against determined attackers, Telegram is vulnerabilities are few and either theoretical or based on spoof files fooling users into actively enabling an attack.

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