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Przewodnik dla Kandydatów na studia 2024/2025

mgr inż. Witold Oleszkiewicz: Wyjaśnialne uczenie maszynowe z zastosowaniem konceptów zrozumiałych dla człowieka (Promotor: dr hab. inż. Robert Nowak, prof. uczelni – Politechnika Warszawska)

Deep Dive. Exploring the Real-World Value of Open Source Intelligence

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Okładka: Deep Dive. Exploring the Real-World Value of Open Source Intelligence

Okładka: Deep Dive. Exploring the Real-World Value of Open Source Intelligence

Okładka: Distributed Machine Learning Patterns

Okładka: Distributed Machine Learning Patterns

Distributed Machine Learning Patterns

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Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples. Second E...

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Okładka: Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples...

Okładka: Interpretable Machine Learning with Python. Build explainable, fair, and robust high-performance models with hands-on, real-world examples. Second Edition

Okładka: Low-Code/No-Code. Citizen Developers and the Surprising Future of Business Applications

Okładka: Low-Code/No-Code. Citizen Developers and the Surprising Future of Business Applications

Low-Code/No-Code. Citizen Developers and the Surprising Future of Business Applications

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