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  • Sách/Book


  • Authors: Anshul Verma; Pradeepika Verma (2025)

  • This book will present the most recent and leading research in the field of network technologies in order to achieve solutions for various problems that exist in this domain

  • Sách/Book


  • Authors: Ehud Reiter (2025)

  • This book aims to provide a comprehensive overview of NLG, encompassing not only language models but also alternative approaches, user requirements, evaluation methods, safety and testing protocols, and practical applications.

  • Sách/Book


  • 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


  • 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


  • 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


  • 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


  • 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


  • 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


  • 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