1. DSpace at My University

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DUYỆT THEO

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Hiện thị kết quả từ 11 đến 20 của 53
Tài liệu phù hợp với tiêu chí tìm kiếm:
  • Sách/Book

  • Multi-Objective Optimization using Artificial Intelligence Techniques

    • Tác giả : 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

  • Deep learning with PyTorch

    • Tác giả : 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.
  • Sách/Book

  • Machine Learning Engineering

    • Tác giả : Andriy Burkov (2020)

  • The Machine Learning Engineering for Production (MLOps) Specialization covers how to conceptualize, build, and maintain integrated systems that continuously operate in production. In striking contrast with standard machine learning modeling, production systems need to handle relentless evolving data. Moreover, the production system must run non-stop at the minimum cost while producing the maximum performance. In this Specialization, you will learn how to use well-established tools and methodologies for doing all of this effectively and efficiently.
  • Sách/Book

  • Elementary Differential Equations and Boundary Value Problems

    • Tác giả : William E. Boyce (2020)

  • The authors have sought to combine a sound and accurate (but not abstract) exposition of the elementary theory of differential equations with considerable material on methods of solution, analysis, and approximation that have proved useful in a wide variety of applications.
  • Sách/Book

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

    • Tác giả : 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

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

    • Tác giả : 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.
  • Sách/Book

  • Machine Learning and Artificial Intelligence

    • Tác giả : Ameet V Joshi (2020)

  • This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state.