Khoa học máy tính - Toán (282)


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  • Authors: Mark Ciampa (2022)

  • Seventh Edition, helps you prepare for professional certification -- and career success. The text fully maps to the new CompTIA Security+ SY0-601 Certification Exam, providing thorough coverage of all domain objectives. In addition to its comprehensive coverage of the fundamental essentials of network and computer security, the seventh edition includes expanded coverage of security evaluations, embedded device and Internet of Things (IoT) security, and cloud and virtualization security. Practical, Hands-On Projects, case activities and online virtual labs help you put what you learn into real-world practice, while the innovative Information Security Community Site connects you to up-t...

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  • Authors: Nguyễn Xuân Dũng (2007)

  • Tổng quan về Internet, thương mại điện tử và bảo mật thông tin. Các hệ mã đối xứng và các chuẩn mã hoá tài liệu. Các hệ mật mã khoá công khai. Các phương pháp chứng thực và ứng dụng bảo mật trong mạng máy tính

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  • Authors: James F. Kurose (2025)

  • The 9th Edition addresses the introduction of Wi-Fi-6, 5G cellular networks, and the software-i-zation of cellular networks, all of which have driven more rapid change in wireless and mobile networking since the previous edition. It also updates many sections throughout to reflect changes across the breadth of networking. Revisions include new coverage of HTTP/3 protocol and QUIC, new material on content distribution networks and streaming services, updated discussion of network security, and much more.

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  • Authors: Richard Medlin (2020)

  • Did you do everything you could to defend against exploits on your network? Is your employer safe because you have one of the best Security Information Event Management (SIEM) setups you can use monitoring the network for you? Or, maybe you are new to Information Security and you want to learn how to employ a robust Intrusion Detection System (IDS) but you do not know where to start. If you have ever asked yourself any of these questions, or you just want to learn about ELK Stack and Zeek (Bro), you have come to the right place.

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  • Authors: Wendell Odom (2024)

  • Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly.Master Cisco CCNA 200-301 exam topics. Assess your knowledge with chapter-opening quizzes. Review key concepts with exam preparation tasks. Practice with realistic exam questions in the practice test software CCNA 200-301 Official Cert Guide, Volume 1, Second Edition from Cisco Press enables you to succeed on the exam the first time and is the only self-study resource approved by Cisco. Best-selling author and expert instructor Wendell Odom shares preparation hints and test-taking tips, helping you identify areas of weakness and improve both your concep...

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  • Authors: Wendell Odom (2020)

  • CCNA 200-301 Official Cert Guide, Volume 1 presents you with an organized test-preparation routine using proven series elements and techniques. “Do I Know This Already?” quizzes open each chapter and enable you to decide how much time you need to spend on each section. Exam topic lists make referencing easy. Chapter-ending Exam Preparation Tasks help you drill on key concepts you must know thoroughly. · Master Cisco CCNA 200-301 exam topics· Assess your knowledge with chapter-opening quizze· Review key concepts with exam preparation tasks · Practice with realistic exam questions in the practice test software

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  • Authors: Jason Brownlee (2018)

  • Deep learning methods offer a lot of promise for time series forecasting, such as the automatic learning of temporal dependence and the automatic handling of temporal structures like trends and seasonality. With clear explanations, standard Python libraries, and step-by-step tutorial lessons you’ll discover how to develop deep learning models for your own time series forecasting projects.

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  • Authors: Douglas Mauro (2005)

  • The bulk of the book is devoted to discussing, with real examples, how to use SNMP for system and network administration tasks. Administrators will come away with ideas for writing scripts to help them manage their networks, create managed objects, and extend the operation of SNMP agents.Once demystified, SNMP is much more accessible. If you're looking for a way to more easily manage your network, look no further than Essential SNMP.

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  • Authors: Daniel Jurafsky (2025)

  • In the first part of the book we introduce the fundamental suite of algorithmic and linguistic tools that make up the modern neural large language model. We begin with tokenization and preprocessing, including Unicode, and then proceed to intro- duce many basic language modeling ideas using simple n-gram language models, we then introduce the algorithms which are the components of large language models logistic regression, embeddings, and feedforward networks. Next we are ready to introduce the principles of large language modeling, encoder, decoders and pretrain- ing, then the fundamental transformer architecture, then masked language model and other architectures like RNNs and LSTMs...

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  • Authors: Rob J Hyndman (2018)

  • This textbook provides a comprehensive introduction to forecasting methods and presents enough information about each method for readers to use them sensibly. Examples use R with many data sets taken from the authors' own consulting experience.In this second edition, all chapters have been updated to cover the latest research and forecasting methods. Three new chapters have been added on dynamic regression forecasting, hierarchical forecasting and practical forecasting issues.

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  • Authors: Rajalingappaa Shanmugamani (2018)

  • This book will also show you, with practical examples, how to develop Computer Vision applications by leveraging the power of deep learning. In this book, you will learn different techniques related to object classification, object detection, image segmentation, captioning, image generation, face analysis, and more. You will also explore their applications using popular Python libraries such as TensorFlow and Keras. This book will help you master state-of-the-art, deep learning algorithms and their implementation.

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  • Authors: Steve Marschner (2021)

  • This book gives the necessary information for understanding how images get onto the screen by using the complementary approaches of ray tracing and rasterization. It covers topics common to an introductory course, such as sampling theory, texture mapping, spatial data structure, and splines. It also includes a number of contributed chapters from authors known for their expertise and clear way of explaining concepts.

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  • Authors: International Institute of Business Analysis (2015)

  • The major changes in this release include: • the inclusion of the Business Analysis Core Concept ModelTM (BACCMTM), • the expanded scope of the role of business analysis in creating better business outcomes, • the inclusion of Perspectives which describe specialized ways in which business analysis professionals provide unique value to the enterprise, • new and expanded Underlying Competencies to better reflect the diverse skill sets of the business analyst, and • new techniques that have emerged in the practice of business analysis.

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  • Authors: Derrick Rountree (2014)

  • The book will be presented as an introduction to the cloud, and reference will be made in the introduction to other Syngress cloud titles for readers who want to delve more deeply into the topic.This book gives readers a conceptual understanding and a framework for moving forward with cloud computing, as opposed to competing and related titles, which seek to be comprehensive guides to the cloud.

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  • Authors: Alistair Croll (2013)

  • This book shows you how to validate your initial idea, find the right customers, decide what to build, how to monetize your business, and how to spread the word. Packed with more than thirty case studies and insights from over a hundred business experts, Lean Analytics provides you with hard-won, real-world information no entrepreneur can afford to go without.

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  • Authors: Richard S. Sutton (2018)

  • Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relatio...

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  • 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 ...