Nowości biblioteczne - maj 2025

Biblioteka Wydziałowa serdecznie zaprasza do zapoznania się
z nowościami książkowymi.

W maju br. w księgozbiorze pojawiły się poniższe tytuły:

	Crepalde N. Big data on Kubernetes. A practical guide to building efficient and scalable data solutions Packt Publishing, 2024 Pobierz opis publikacji: Big data on Kubernetes. A practical guide to building efficient and scalable data solutions (msword, 29,00 kB)
	Vijayakumaran S. DevOps. Frameworks, techniques, and tools Rheinwerk Publishing, 2024 Pobierz opis publikacji: DevOps. Frameworks, techniques, and tools (msword, 29,00 kB)
	Bustos J.P., Lopez Soria L. Generative AI application integration patterns. Integrate large language models into your applications Packt Publishing, 2024 Pobierz opis publikacji: Generative AI application integration patterns. Integrate large language models into your applications (msword, 30,00 kB)
	Kolodiazhnyi K. Hands-on machine learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines. Second edition Packt Publishing, 2025 Pobierz opis publikacji: Hands-on machine learning with C++. Build, train, and deploy end-to-end machine learning and deep learning pipelines. Second edition (msword, 30,00 kB)
	Liu M. Learn generative AI with PyTorch Manning, 2024 Pobierz opis publikacji: Learn generative AI with PyTorch (msword, 30,50 kB)
	Romano F., Kruger H. Learn Python programming. A comprehensive, up-to-date, and definitive guide to learning Python. Fourth edition Packt Publishing, 2024 Pobierz opis publikacji: Learn Python programming. A comprehensive, up-to-date, and definitive guide to learning Python. Fourth edition (msword, 28,50 kB)
	Abhishek K., Abdelaziz M. Machine learning for imbalanced data. Tackle imbalanced datasets using machine learning and deep learning techniques Packt Publishing, 2023 Pobierz opis publikacji: Machine learning for imbalanced data. Tackle imbalanced datasets using machine learning and deep learning techniques (msword, 29,50 kB)
	Ozdemir S. Quick start guide to large language models. Strategies and best practices for ChatGPT, embeddings, fine-tuning, and multimodal AI. Second edition Addison-Wesley, 2024 Pobierz opis publikacji: Quick start guide to large language models. Strategies and best practices for ChatGPT, embeddings, fine-tuning, and multimodal AI. Second edition (msword, 29,50 kB)
	Bourne K. Unlocking data with generative AI and RAG. Enhance generative AI systems by integrating internal data with large language models using RAG Packt Publishing, 2024 Pobierz opis publikacji: Unlocking data with generative AI and RAG. Enhance generative AI systems by integrating internal data with large language models using RAG (msword, 29,50 kB)

Zachęcamy do zgłaszania zapotrzebowania na nowe książki mailowo na adres Biblioteki: bwepw.elka@pw.edu.pl

Opublikowano: 20.05.2025 12:22

Kamila Szlaga