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  • Sách/Book

  • C++ how to program

    • Authors: Paul Deitel; Harvey Deitel (2017)

  • Interesting, entertaining, and challenging exercises encourage students to make a difference and use computers and the Internet to work on problems. To keep readers up-to-date with leading-edge computing technologies, the Tenth Edition conforms to the C++11 standard and the new C++14 standard.
  • Sách/Book

  • Applied multivariate statistical analysis

    • Authors: Richard A. Johnson (2014)

  • This market leader offers a readable introduction to the statistical analysis of multivariate observations. Gives readers the knowledge necessary to make proper interpretations and select appropriate techniques for analyzing multivariate data. Starts with a formulation of the population models, delineates the corresponding sample results, and liberally illustrates everything with examples.
  • Sách/Book

  • Programming PyTorch for Deep Learning Creating and Deploying Deep Learning Applications

    • Authors: Ian Pointer (2019)

  • This book is here to help you get your job done. In general, if example code is offered with this book, you may use it in your programs and documentation. You do not need to contact us for permission unless you’re reproducing a significant portion of the code. For example, writing a program that uses several chunks of code from this book does not require permission.
  • Tập bài giảng/Lecture

  • Nhập môn kỹ nghệ phần mềm

    • Authors: Cao Kim Ánh (2021)

  • Tổng quan về kĩ nghệ phần mềm. Các mô hình phát triển phần mềm. Các khái niệm về quản lí dự án. Kĩ nghệ phần mềm truyền thống. Kỹ nghệ phần mềm hướng sự vật. Các chủ đề nâng cao trong kĩ nghệ phần mềm
  • Sách/Book

  • Applied Multivariate Statistical Analysis

    • Authors: Wolfgang Karl Härdle (2024)

  • Now in its sixth edition, this textbook presents the tools and concepts used in multivariate data analysis in a style accessible for non-mathematicians and practitioners. Each chapter features hands-on exercises that showcase applications across various fields of multivariate data analysis.
  • Sách/Book

  • Applied Multivariate Statistical Analysis

    • Authors: Wolfgang Karl Härdle; Léopold Simar (2019)

  • All chapters include practical exercises that highlight applications in different multivariate data analysis fields: in quantitative financial studies, where the joint dynamics of assets are observed; in medicine, where recorded observations of subjects in different locations form the basis for reliable diagnoses and medication; and in quantitative marketing, where consumers' preferences are collected in order to construct models of consumer behavior.
  • Sách/Book

  • Applied Multivariate Statistics with R

    • Authors: Daniel Zelterman (2005)

  • This book brings the power of multivariate statistics to graduate-level practitioners, making these analytical methods accessible without lengthy mathematical derivations.
  • Sách/Book

  • An introduction to multivariate statistical analysis

    • Authors: T.W. Anderson (2003)

  • For more than four decades An Introduction to Multivariate Statistical Analysis has been an invaluable text for students and a resource for professionals wishing to acquire a basic knowledge of multivariate statistical analysis. Since the previous edition, the field has grown significantly. This updated and improved Third Edition familiarizes readers with these new advances, elucidating several aspects that are particularly relevant to methodology and comprehension.