1. DSpace at My University

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DUYỆT THEO

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Hiện thị kết quả từ 1351 đến 1360 của 1488
Tài liệu phù hợp với tiêu chí tìm kiếm:
  • Sách/Book

  • Machine learning : from the classics to deep networks, transformers, and diffusion models

    • Tác giả : Sergios Theodoridis (2025)

  • Third Edition starts with the basics, including least squares regression and maximum likelihood methods, Bayesian decision theory, logistic regression, and decision trees. It then progresses to more recent techniques, covering sparse modelling methods, learning in reproducing kernel Hilbert spaces and support vector machines. Bayesian learning is treated in detail with emphasis on the EM algorithm and its approximate variational versions with a focus on mixture modelling, regression and classification.
  • Sách/Book

  • Vector and complex calculus : a textbook for students of the physical sciences

    • Tác giả : Fabian Waleffe. (2025)

  • Vector and complex calculus are essential for applications to electromagnetism, fluid and solid mechanics, and the differential geometry of surfaces. The standard multivariable calculus courses are largely limited to 'xyz' calculus, but vector calculus is about geometric concepts invariant under coordinate transformations. This textbook takes the students from the geometry and algebra of vectors, to the key concepts and tools of vector calculus, including differential geometry of curves and surfaces, curvilinear coordinates, and capping off with a study of the essential elements of the calculus of functions of one complex variable.
  • Sách/Book

  • Embedded artificial intelligence : real-life applications and case studies

    • Tác giả : Arpita Nath Boruah (2025)

  • It begins by introducing the fundamentals of AI and embedded systems and specific challenges and opportunities. A key focus of the book is developing efficient and effective algorithms and models for embedded AI systems, as embedded systems have limited processing power, memory, and storage.
  • Sách/Book

  • Introduction to mathematical analysis

    • Tác giả : Naokant Deo (2024)

  • This book is a straightforward and comprehensive presentation of the concepts and methodology of elementary real analysis. Targeted to undergraduate students of mathematics and engineering, it serves as the foundation for mathematical reasoning and proofs.
  • Sách/Book

  • Mathematics for digital science 1 : fundamentals Vol.1 Fundamentals

    • Tác giả : Gérard-Michel Cochard (2025)

  • The goal of this book series is to offer a solid foundation of the knowledge essential to working in the digital sector. Across three volumes, it explores fundamental principles, digital information, data analysis, and optimization. Whether the reader is pursuing initial training or looking to deepen their expertise, the Mathematics for Digital Science series revisits familiar concepts, helping them refresh and expand their knowledge while also introducing equally essential, newer topics
  • Sách/Book

  • AI for creatives : unlocking expressive digital potential

    • Tác giả : Vivian Ching (2025)

  • AI for Creatives: Unlocking Expressive Digital Potential takes you on a dynamic journey into the future of creativity, where AI is reshaping how creators approach their craft. This essential guide empowers professionals across visual arts, music, writing, film, fashion and design to leverage the transformative potential of AI to elevate their work in ways previously unimaginable.
  • Sách/Book

  • Introduction to variational calculus : applications in image processing

    • Tác giả : Hebert Montegranario (2025)

  • This textbook introduces variational calculus and regularization methods for inverse problems, seamlessly blending classical concepts with contemporary computational applications, particularly in the field of image processing. The classical perspective draws upon foundational topics explored by pioneers such as Euler and Lagrange, establishing a solid theoretical groundwork.