1. DSpace at My University

Search

Filters:

BROWSE

Has File(s)

Search Results

Results 3411-3420 of 3819 (Search time: 0.085 seconds).
Item hits:
  • Sách/Book

  • Clinical communication skills in medicine : a primer for MRCP PACES

    • Authors: Ernest Suresh (2025)

  • This book takes readers through forty-five challenging scenarios to teach communication skills in medicine. It follows the revised format of the Practical Assessment of Clinical Examination Skills (PACES) exam conducted by the Royal College of Physicians in the UK, which tests communication skills twice in two separate stations. Most scenarios in this book have been created in an acute medical unit setting.
  • Sách/Book

  • Artificial intelligence in medicine and healthcare

    • Authors: Ajay Kumar (2025)

  • This book is discussing artificial intelligence-based smart systems for diagnosis and prediction of diseases, artificial intelligence in clinical decision-making, and artificial intelligence tools for clinical and healthcare data.
  • Sách/Book

  • Python for large language model: A beginners handbook for leveraging LLMS into modern development workflows and applications

    • Authors: Planet, Code (2025)

  • "MACHINE LEARNING WITH PYTHON: A Comprehensive Guide To Algorithms, Deep Learning Techniques, And Practical Applications" is an essential read. Machine Learning with Python in this all-in-one guide designed for beginners and experienced developers alike! Whether you're diving into supervised and unsupervised learning, exploring neural networks, or mastering real-world applications, this book provides step-by-step explanations, hands-on examples, and expert insights.
  • Sách/Book

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

    • Authors: 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

    • Authors: 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

    • Authors: 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

  • Event planning and management : principles, planning and practice

    • Authors: Ruth Dowson (2023)

  • This third edition of Event Planning and Management provides a renewed focus on virtual and hybrid events. It also provides an expansion of health and safety advisory in light of COVID-19 and anti-terrorism, as well as new models such as the Cultural Risk Assessment, and further case studies
  • Sách/Book

  • Introduction to mathematical analysis

    • Authors: 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

    • Authors: 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