Computer science
This category encompasses a wide range of literature focused on computer science, providing insights into programming, algorithms, systems design, and more. Ideal for students, professionals, and tech enthusiasts, these texts offer valuable knowledge and skills to navigate the ever-evolving digital landscape. Discover foundational principles and cutting-edge innovations that shape the technology of tomorrow.
Gödel, Escher, Bach: An Eternal Golden Braid
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If Anyone Builds It, Everyone Dies: Why Superhuman AI Would Kill Us All
Eliezer Yudkowsky, Nate Soares
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AI Engineering: Building Applications with Foundation Models
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How To Think About AI: A Guide For The Perplexed
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Empire of AI: Dreams and Nightmares in Sam Altman's OpenAI
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HBR Guide to Generative AI for Managers
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Artificial Intelligence: A Modern Approach, Global Edition
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Speak Data: Artists, Scientists, Thinkers, and Dreamers on How We Live Our Lives in Numbers
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Proofs from THE BOOK
Martin Aigner, Günter M. Ziegler
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Mathematics for Machine Learning
Cheng Soon Ong, A. Aldo Faisal, Marc Peter Deisenroth
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Designing Machine Learning Systems: An Iterative Process for Production-Ready Applications
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Heavy Wizardry 101: Shellcodes, Backdoors, Droppers, and Worms
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Deep Learning
Ian Goodfellow, Yoshua Bengio, Aaron Courville
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Deep Learning: Foundations and Concepts
Christopher M. Bishop, Hugh Bishop
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Why Machines Learn: The Elegant Math Behind Modern AI
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How We Learn: The New Science of Education and the Brain
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What Is Intelligence?: Lessons from AI About Evolution, Computing, and Minds
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Practical AI Security: A Hands-on Guide to Attacking, Defending, and Securing Modern AI Systems
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Industrial AI: from Pilot to Profit: Key Concepts, Success Factors, Use Cases and Market Mechanics
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Don't Make Me Think: A Common Sense Approach to Web Usability
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Computer Systems: A Programmer's Perspective, Global Edition
David R. O'Hallaron, Randal E. Bryant
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More Everything Forever: AI Overlords, Space Empires, and Silicon Valley's Crusade to Control the Fate of Humanity
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Wise AI: Using powerful technology in a deeply human way
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Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems
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Hands-On Large Language Models: Language Understanding and Generation
Maarten Grootendorst, Jay Alammar
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Introduction to Biometrics
Arun A. Ross, Karthik Nandakumar, Thomas Swearingen, Anil K. Jain
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Introduction to Video and Image Processing: Building Real Systems and Applications
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The Hundred-Page Machine Learning Book
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Category „Computer science“
From the theoretical foundations to practical applications, the study of computer science encompasses a wide range of topics that are essential for anyone interested in understanding and mastering the digital world. This category offers an extensive collection of resources tailored for students, professionals, and enthusiasts alike, as it delves into various aspects of computing that have shaped our modern society.
With roots that trace back to the early days of logic and mathematics, computer science has evolved dramatically over the decades. Today, it includes the exploration of areas such as mathematical theory of computation and systems analysis and design, providing readers with the tools necessary to grasp complex concepts and theories that underpin the field.
Those venturing into computer architecture and logic design will find invaluable insights, enabling them to understand the fundamental frameworks that power modern technology. For readers drawn to the simulations and modeling of digital systems, the topics of computer modelling and simulation are particularly intriguing, offering the chance to envision possibilities in both virtual and real-world contexts.
Artificial intelligence (AI) remains a hotbed for exploration and innovation, capturing the imagination of many. Readers can dive into topics such as digital signal processing (DSP) and both image and audio processing, which are pivotal in the evolving landscape of AI applications. These fields not only enhance how we interact with technology but also introduce sophisticated methods that improve performance and adaptability.
Emerging technologies such as virtual reality and augmented reality (AR) are also encapsulated within this category, reflecting the convergence of computer science with immersive experiences that transform user interaction. These advancements in spatial computing and human–computer interaction highlight the importance of understanding user experience in driving technological progress.
Moreover, natural computing and quantum computing are at the frontier of research and development, challenging traditional computing paradigms and opening the door to revolutionary applications. Publications from renowned authors and leading publishers embody the credibility and expertise that enthusiasts and scholars seek in their pursuit of knowledge in these cutting-edge domains.
In essence, the computer science category serves as a gateway for anyone looking to deepen their understanding of the digital landscape, explore its numerous subfields, and stay abreast of the latest advancements and theories that will help shape the future.