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Results 2021-2030 of 3738 (Search time: 0.213 seconds).
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  • Sách/Book

  • Những nền tảng cơ bản của mỹ thuật

    • Authors: Stinsok Ocvirk; Bone Wigg (2006)

  • Bố cục. đường nét. hình dạng. sắc độ. cấu trúc cơ bản. mầu sắc. không gian. nghệ thuật của chiều thứ ba. nội dung và phong cách.
  • Sách/Book

  • Financial and managerial accounting

    • Authors: Warren, Carl S (2019)

  • This leading book's business examples provide a meaningful context as they demonstrate how each chapter�s content fits into the big picture. The authors clearly connect fundamental accounting concepts to real businesses today. For example, each chapter begins with a real-world company opener that is linked to applicable content throughout the chapter.
  • Sách/Book

  • Proceedings of the 6th International Conference on Economic Management and Green Development

    • Authors: Yuan, Chunhui (2023)

  • This proceedings book, together with the conference, looks forward to spark inspirations and promote collaborations. International Conference on Economic Management and Green Development (ICEMGD) is an annual conference aiming at bringing together researchers from the fields of economics, business management, public administration, and green development for the sharing of research methods and theoretical breakthroughs. The proceedings consist of papers accepted by the 6th ICEMGD, which are carefully selected and reviewed by professional reviewers from corresponding research fields and the editing committee of the conference.
  • Sách/Book

  • Mathematical aspects of deep learning

    • Authors: Philipp Grohs (2023)

  • This book presents the current mathematical understanding of deep learning methods from the point of view of the leading experts in the field. It serves both as a starting point for researchers and graduate students in computer science, mathematics, and statistics trying to get into the field and as an invaluable reference for future research
  • Sách/Book

  • Convergence of cloud with AI for big data analytics : foundations and innovation

    • Authors: Danda B. Rawat (2023)

  • This book covers the foundations and applications of cloud computing, AI, and Big Data and analyses their convergence for improved development and services. The 17 chapters of the book masterfully and comprehensively cover the intertwining concepts of artificial intelligence, cloud computing, and big data, all of which have recently emerged as the next-generation paradigms.
  • Sách/Book

  • Current applications of deep learning in cancer diagnostics

    • Authors: Jyotismita Chaki (2023)

  • This book examines deep learning-based approaches in the field of cancer diagnostics, as well as pre-processing techniques which are essential to cancer diagnostics. Topics include: introduction to current applications of deep learning in cancer diagnostics; pre-processing of cancer data using deep learning; review of deep learning techniques in oncology; overview of advanced deep learning techniques in cancer diagnostics; prediction of cancer susceptibility using deep learning techniques; prediction of cancer reoccurrence using deep learning techniques; deep learning techniques to predict the grading of human cancer; different human cancer detection using deep learning techniques; prediction of cancer survival using deep learning techniques; complexity in the use of deep learning i...
  • Sách/Book

  • All in on AI : how smart companies win big with artificial intelligenc

    • Authors: Thomas H. Davenport (2023)

  • If you're curious about the next phase in the implementation of artificial intelligence within companies, or if you're looking to adopt this powerful technology in a more robust way yourself, All-In on AI will give you a rare inside look at what the leading adopters are doing, while providing you with the tools to put AI at the core of everything you do.
  • Sách/Book

  • Deep Learning on Microcontrollers Learn How to Develop Embedded Al Applications Using TinyML

    • Authors: Atul Krishna Gupta (2023)

  • This book aims to increase accessibility to TinyML applications, particularly for professionals who lack the resources or expertise to develop and deploy them on microcontroller-based boards. The book starts by giving a brief introduction to Artificial Intelligence, including classical methods for solving complex problems. It also familiarizes you with the different ML model development and deployment tools, libraries, and frameworks suitable for embedded devices and microcontrollers.
  • Sách/Book

  • Mathematics of deep learning : an introduction

    • Authors: Leonid Berlyand; Pierre-Emmanuel Jabin. (2023)

  • The goal of this book is to provide a mathematical perspective on some key elements of the so-called deep neural networks (DNNs). Much of the interest in deep learning has focused on the implementation of DNN-based algorithms. Our hope is that this compact textbook will offer a complementary point of view that emphasizes the underlying mathematical ideas.
  • Sách/Book

  • Introduction to Mathematical Statistics and Its Applications

    • Authors: Richard J. Larsen (2013)

  • The authors demonstrate how and when to use statistical methods, while reinforcing the calculus that students have mastered in previous courses. Throughout theFifth Edition, the authors have added and updated examples and case studies, while also refining existing features that show a clear path from theory to practice.