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Results 661-670 of 3082 (Search time: 0.294 seconds).
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  • Sách/Book

  • Elementary Differential Equations and Boundary Value Problems

    • Authors: William Boyce (2019)

  • The 10th edition of Elementary Differential Equations and Boundary Value Problems , like its predecessors, is written from the viewpoint of the applied mathematician, whose interest in differential equations may sometimes be quite theoretical, sometimes intensely practical, and often somewhere in between.
  • Sách/Book

  • Artificial Intelligence : A National Strategic Initiative

    • Authors: Tencent Research Institute (2021)

  • This book begins with the past and present of the subversive technology of artificial intelligence, clearly analyzes the overall picture, latest developments and development trends of the artificial intelligence industry, and conducts in-depth research on the competitive situation of various countries
  • Sách/Book

  • An Introduction to Computing with Fuzzy Sets

    • Authors: Witold Pedrycz (2021)

  • This book provides concise yet thorough coverage of the fundamentals and technology of fuzzy sets. Readers will find a lucid and systematic introduction to the essential concepts of fuzzy set-based information granules, their processing and detailed algorithms.
  • Sách/Book

  • Data Science for Business and Decision Making : An Introductory Text for Students and Practitioners

    • Authors: Seyed Ali Fallahchay (2020)

  • This book explores the principles underpinning data science. It considers the how and why of modern data science. The book goes further than existing books by applying data to decision making. Not only is the book useful for undergraduates, but it can also help business owners in improving their decision making. Using real life examples, this book explores the possibilities and limitations of an information-based decision making framework.
  • Sách/Book

  • Analysis of Doubly Truncated Data : An Introduction

    • Authors: Achim Doerre (2019)

  • This book introduces readers to statistical methodologies used to analyze doubly truncated data. The first book exclusively dedicated to the topic, it provides likelihood-based methods, Bayesian methods, non-parametric methods, and linear regression methods.
  • Sách/Book

  • Multi-Objective Optimization using Artificial Intelligence Techniques

    • Authors: Seyedali Mirjalili (2020)

  • This book focuses on the most well-regarded and recent nature-inspired algorithms capable of solving optimization problems with multiple objectives. Firstly, it provides preliminaries and essential definitions in multi-objective problems and different paradigms to solve them.
  • Sách/Book

  • Ordinary Differential Equations: An Introduction to the Fundamentals

    • Authors: Kenneth B. Howell (2019)

  • The Second Edition of Ordinary Differential Equations: An Introduction to the Fundamentals builds on the successful First Edition. It is unique in its approach to motivation, precision, explanation and method. Its layered approach offers the instructor opportunity for greater flexibility in coverage and depth.
  • Sách/Book

  • Deep learning with PyTorch

    • Authors: Eli Stevens (2020)

  • Deep Learning with PyTorch teaches you to create deep learning and neural network systems with PyTorch. This practical book gets you to work right away building a tumor image classifier from scratch. After covering the basics, you’ll learn best practices for the entire deep learning pipeline, tackling advanced projects as your PyTorch skills become more sophisticated.