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New books in the Library - May 2025

Nowości biblioteczne - maj 2025

In May 2025 we’ve added new books in english to the Faculty Library collection.

	Crepalde N. Big data on Kubernetes. A practical guide to building efficient and scalable data solutions Packt Publishing, 2024 Description: 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 Description: 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 Description: 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 Description: 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 Description: 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 Description: 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 Description: 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 Description: 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 Description: 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)

Published: 20/05/2025 12:22 pm

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Kamila Szlaga