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Fedora Linux Essentials


Free Download Fedora Linux Essentials: Definitive Reference for Developers and Engineers
English | 2025 | ASIN: B0FD3FWH9Y | 342 pages | True EPUB | 2.2 MB
Fedora Linux Essentials" is an authoritative guide designed for both aspiring and experienced Linux professionals seeking a comprehensive understanding of Fedora, one of the world's leading open-source operating systems. The book begins by unveiling Fedora's unique architecture, explores the governance and collaborative principles of its project, and provides clarity on its wide array of editions-from Workstation and Server to IoT and Silverblue. Through meticulously crafted chapters, readers gain valuable insight into Fedora's rapid release cycles, sophisticated security model, versatile deployment strategies, and its pivotal role in the ever-evolving Linux ecosystem.

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False How Mistrust, Disinformation, and Motivated Reasoning Make Us Believe Things that Aren't True


Free Download False: How Mistrust, Disinformation, and Motivated Reasoning Make Us Believe Things that Aren't True by Joe Pierre MD
English | March 3, 2025 | ISBN: 0197765270 | 256 pages | PDF | 2.67 Mb
An illuminating exploration of the psychology of false belief that lies at the root of science denialism, political polarization, and rampant belief in misinformation and disinformation.

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Essentials of Swift Programming


Free Download Essentials of Swift Programming: Definitive Reference for Developers and Engineers
English | 2025 | ASIN: B0FD35VGNF | 289 pages | True EPUB | 4.8 MB
Essentials of Swift Programming" is a comprehensive guide designed to empower both new and seasoned software professionals with a deep understanding of the Swift programming language. Spanning Swift's language design and evolution, the book meticulously explores foundational topics such as type inference, advanced pattern matching, and memory management, providing a strong conceptual framework that distinguishes Swift from other modern languages. Each chapter offers clear explanations, practical examples, and expert insights, enabling readers to master both the syntactic fundamentals and nuanced intricacies of Swift.

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Enhancing LLM Performance


Free Download Enhancing LLM Performance: Efficacy, Fine-Tuning, and Inference Techniques
English | 2025 | ISBN: 3031857461 | 291 Pages | PDF EPUB (True) | 17 MB
This book is a pioneering exploration of the state-of-the-art techniques that drive large language models (LLMs) toward greater efficiency and scalability. Edited by three distinguished experts-Peyman Passban, Mehdi Rezagholizadeh, and Andy Way-this book presents practical solutions to the growing challenges of training and deploying these massive models. With their combined experience across academia, research, and industry, the authors provide insights into the tools and strategies required to improve LLM performance while reducing computational demands.

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Engineering Applications of Polymer based Nano Blends


Free Download Engineering Applications of Polymer based Nano Blends
English | 2025 | ISBN: 303190978X | 586 Pages | PDF EPUB (True) | 43 MB
This book presents engineering applications of polymer-based nano-blends. It discusses the recent developments, in the area of engineering applications, and summarizes many of the important polymer-based nano-blends. In particular, it looks into more advanced topics like blends in biomedical applications, biorecognition of anticancer drug daunorubicin application, binders for particle board, packaging applications, thermoplastic starch-based LLDPE films for active packaging, and optical and antibacterial applications.

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Encyclopedia of Computational Neuroscience


Free Download Encyclopedia of Computational Neuroscience by Dieter Jäger, Ranu Jung
English | April 26, 2022 | ISBN: 107161004X | 3720 pages | EPUB | 544 Mb
The annual Computational Neuroscience Meeting (CNS) began in 1990 as a small workshop called Analysis and Modeling of Neural Systems. The goal of the workshop was to explore the boundary between neuroscience and computation. Riding on the success of several seminal papers, physicists had made "Neural Networks" fashionable, and soon the quantitative methods used in these abstract model networks started permeating the methods and ideas of experimental neuroscientists. Although experimental neurophysiological approaches provided many advances, it became increasingly evident that mathematical and computational techniques would be required to achieve a comprehensive and quantitative understanding of neural system function. "Computational Neuroscience" emerged to complement experimental neurophysiology. The Encyclopedia of Computational Neuroscience, published in conjunction with the Organization for Computational Neuroscience, will be an extensive reference work consultable by both researchers and graduate level students. It will be a dynamic, living reference, updatable and containing linkouts and multimedia content whenever relevant.