1. DSpace at My University

Search

Filters:

BROWSE

Has File(s)

Search Results

Results 331-340 of 1488 (Search time: 0.104 seconds).
Item hits:
  • Sách/Book

  • Univariate, bivariate, and multivariate statistics using R : quantitative tools for data analysis and data science

    • Authors: Daniel J. Denis (2020)

  • This book provides a user-friendly and practical guide on R, with emphasis on covering a broader range of statistical methods than previous books on R. This is a "how to" book and will be of use to undergraduates and graduate students along with researchers and professionals who require a quick go-to source to help them perform essential statistical analyses and data management tasks in R. The book only assumes minimal prior knowledge of statistics, providing readers with the tools they need right now to help them understand and interpret their data analyses. This book covers univariate, bivariate, and multivariate statistical methods, as well as some nonparametric tests.
  • Sách/Book

  • An Introduction to Real Analysis

    • Authors: Ravi P. Agarwal (2018)

  • This book provides a compact, but thorough, introduction to the subject of Real Analysis. It is intended for a senior undergraduate and for a beginning graduate one-semester course.
  • Sách/Book

  • Data structure and algorithms using C++ : a practical implementation

    • Authors: Sachi Nandan Mohanty (2021)

  • This book is intended to flow from the basic concepts of C++ to technicalities of the programming language, its approach and debugging. The chapters of the book flow with the formulation of the problem, it's designing, finding the step-by-step solution procedure along with its compilation, debugging and execution with the output.
  • Sách/Book

  • Concise Introduction to Basic Real Analysis

    • Authors: Hemen Dutta (2021)

  • The book is ideal for students, instructors, as well as those doing research in areas requiring a basic knowledge of Real Analysis. Those more advanced in the field will also find the book useful to refresh their knowledge of the topic.
  • Sách/Book

  • An introduction to categorical data analysis

    • Authors: Alan Agresti (2019)

  • Third Edition summarizes these methods and shows readers how to use them using software. Readers will find a unified generalized linear models approach that connects logistic regression and loglinear models for discrete data with normal regression for continuous data.
  • Sách/Book

  • Artificial Intelligence with Python : Your complete guide to building intelligent apps using Python 3.x

    • Authors: Alberto Artasanchez (2020)

  • Book DescriptionArtificial Intelligence with Python, Second Edition is an updated and expanded version of the bestselling guide to artificial intelligence using the latest version of Python 3.x. Not only does it provide you an introduction to artificial intelligence, this new edition goes further by giving you the tools you need to explore the amazing world of intelligent apps and create your own applications.