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Results 1721-1730 of 1971 (Search time: 0.004 seconds).
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  • Sách/Book

  • The Art of Network Architecture: Business-Driven Design

    • Authors: Russ White (2014)

  • The Art of Network Architecture is the first book that places business needs and capabilities at the center of the process of architecting and evolving networks. Two leading enterprise network architects help you craft solutions that are fully aligned with business strategy, smoothly accommodate change, and maximize future flexibility.Russ White and Denise Donohue guide network designers in asking and answering the crucial questions that lead to elegant, high-value solutions. Carefully blending business and technical concerns, they show how to optimize all network interactions involving flow, time, and people.
  • Sách/Book

  • Enterprise systems for management

    • Authors: Luvai F. Motiwalla (2012)

  • This edition specifically:• provides several examples of real-world company issues that occurred while implementing enterprise systems;• provides a step-by-step learning process for students, using organized materials, and learning • focuses on a pedagogy that lays out concise learning goals and reinforces the concepts learned using cases, discussion questions, and exercises; andabout enterprise system implementations;• highlights issues within the implementation process that have implications for management.
  • Sách/Book

  • Fundamentals of Reinforcement Learning

    • Authors: Rafael Ris-Ala (2023)

  • This book provides an introduction to AI, specifies machine learning techniques, and explores various aspects of reinforcement learning, approaching the latest concepts in a didactic and illustrated manner. It is aimed at students who want to be part of technological advances and professors engaged in the development of innovative applications, helping with academic and industrial challenges
  • Sách/Book

  • Fundamentals of Pattern Recognition and Machine Learning

    • Authors: Ulisses Braga-Neto (2021)

  • This book is a concise but thorough introduction to the tools commonly used in pattern recognition and machine learning, including classification, dimensionality reduction, regression, and clustering, as well as recent popular topics such as deep neural networks and Gaussian process regression. The Second Edition is thoroughly revised, featuring a new chapter on the emerging topic of physics-informed machine learning and additional material on deep neural networks.
  • Sách/Book

  • Exploring Windows Presentation Foundation: With Practical Applications in .NET 5

    • Authors: Taurius Litvinavicius (2021)

  • This book will get you through not only the basics, but also some of the more advanced concepts of WPF in .NET 5.The book starts with basic concepts such as window, page, text box, and message box as well as a sequence of common events and event handling in WPF. You will learn how to use various elements in WPF and deal with them in .NET 5. You will understand how to work with files and access them in WPF along with binding and MVVM (Model-View-View-Model). You will learn how to retrieve data from APIs, work in XAML, and understand where design and style properties should be applied in WPF.
  • Sách/Book

  • Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow: Concepts, Tools, and Techniques to Build Intelligent Systems

    • Authors: Aurélien Géron (2022)

  • Third edition, explores a range of techniques, starting with simple linear regression and progressing to deep neural networks. Numerous code examples and exercises throughout the book help you apply what you've learned. Programming experience is all you need to get started: Use Scikit-learn to track an example ML project end to end; Explore several models, including support vector machines, decision trees, random forests, and ensemble methods; Exploit unsupervised learning techniques such as dimensionality reduction, clustering, and anomaly detection.
  • Sách/Book

  • Pro C# 9 with.NET 5: Foundational Principles and Practices in Programming

    • Authors: Andrew Troelsen (2021)

  • This essential classic provides a comprehensive foundation in the C# programming language and the framework it lives in. Now in its 10th edition, you will find the latest C# 9 and .NET 5 features served up with plenty of "behind the curtain" discussion designed to expand developers’ critical thinking skills when it comes to their craft. Coverage of ASP.NET Core, Entity Framework Core, and more, sits alongside the latest updates to the new unified .NET platform, from performance improvements to Windows Desktop apps on .NET 5, updates in XAML tooling, and expanded coverage of data files and data handling. Going beyond the latest features in C# 9, all code samples are rewritten for this latest release.
  • Sách/Book

  • Machine Learning for Pattern Recognition

    • Authors: Chih-Lung Lin (2024)

  • This reprint brings together contributions from leading experts in their fields. Each paper provides valuable insights into the latest trends, methods, and challenges in state-of-the-art applications of machine learning for pattern recognition. In addition, the research in each paper not only showcases the latest advancements in machine learning algorithms but also discusses their successful applications and the challenges encountered in real-world scenarios.
  • Sách/Book

  • High Performance Spark: Best Practices for Scaling and Optimizing Apache Spark

    • Authors: Holden Karau (2023)

  • With this book, you'll learn how to: Accelerate your ML workflows with integrations including PyTorch. Handle key skew and take advantage of Spark's new dynamic partitioning. Make your code reliable with scalable testing and validation techniques. Make Spark high performance. Deploy Spark on Kubernetes and similar environments.Take advantage of GPU acceleration with RAPIDS and resource profiles. Get your Spark jobs to run faster. Use Spark to productionize exploratory data science projects. Handle even larger datasets with Spark. Gain faster insights by reducing pipeline running times. Become an O’Reilly member and get unlimited acces.