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![[Giới thiệu sách mới] Learning DevOps: A comprehensive guide to accelerating DevOps culture adoption with Terraform, Azure DevOps, Kubernetes, and Jenkins (2E)](/_next/image?url=%2Fimages%2Fpost%2Fno-thumbnail.png&w=1600&q=75 "[Giới thiệu sách mới] Learning DevOps: A comprehensive guide to accelerating DevOps culture adoption with Terraform, Azure DevOps, Kubernetes, and Jenkins (2E)")
Nhan đề: Learning DevOps: A comprehensive guide to accelerating DevOps culture adoption with Terraform, Azure DevOps, Kubernetes, and Jenkins, 2nd Edition.Tác giả: Mikael KriefPublished by Packt Publishing. ISBN: 9781801818964. Number of pages: 560. Tài liệu đáp ứng cho môn học: NT548 - Công nghệ Devops và ứng dụng Tóm tắt:Implement modern DevOps techniques to increase business productivity, agility, reliability, security, and scalabilityKey Features:- Learn how to use business resources effectively for improved productivity and collaboration- Use infrastructure as code practices to build large-scale cloud infrastructure- Leverage the ultimate open source DevOps tools to achieve continuous integration and continuous delivery (CI/CD) Book Description:In the implementation of DevOps processes, the choice of tools is crucial to the sustainability of projects and collaboration between developers and ops. This book presents the different patterns and tools for provisioning and configuring an infrastructure in the cloud, covering mostly open source tools with a large community contribution, such as Terraform, Ansible, and Packer, which are assets for automation.This DevOps book will show you how to containerize your applications with Docker and Kubernetes and walk you through the construction of DevOps pipelines in Jenkins as well as Azure pipelines before covering the tools and importance of testing. You'll find a complete chapter on DevOps practices and tooling for open source projects before getting to grips with security integration in DevOps using Inspec, Hashicorp Vault, and Azure Secure DevOps kit. You'll also learn about the reduction of downtime with blue-green deployment and feature flags techniques before finally covering common DevOps best practices for all your projects.By the end of this book, you'll have built a solid foundation in DevOps and developed the skills necessary to enhance a traditional software delivery process using modern software delivery tools and techniques. What you will learn- Understand the basics of infrastructure as code patterns and practices- Get an overview of Git command and Git flowInstall and write Packer, Terraform, and Ansible code for provisioning and configuring cloud infrastructure based on Azure examples- Use Vagrant to create a local development environmentContainerize applications with Docker and Kubernetes- Apply DevSecOps for testing compliance and securing DevOps infrastructure- Build DevOps CI/CD pipelines with Jenkins, Azure Pipelines, and GitLab CI- Explore blue-green deployment and DevOps practices for open sources projects Who this book is forIf you are an application developer or a system administrator interested in understanding continuous integration, continuous delivery, and containerization with DevOps tools and techniques, this book is for you. Knowledge of DevOps fundamentals and Git principles is required. Table of Contents:- The DevOps Culture and Infrastructure as Code Practices- Provisioning Cloud Infrastructure with Terraform- Using Ansible for Configuring IaaS Infrastructure- Optimizing Infrastructure Deployment with Packer- Authoring the Development Environment with Vagrant- Managing Your Source Code with Git- Continuous Integration and Continuous Delivery- Deploying Infrastructure as Code with CI/CD Pipelines- Containerizing Your Application with Docker- Managing Containers Effectively with Kubernetes- Testing APIs with Postman- Static Code Analysis with SonarQube- Security and Performance Tests- Security in the DevOps Process with DevSecOps- Reducing Deployment Downtime- DevOps for Open Source Projects- DevOps Best Practices About the Author:Mikael Krief (born in 1980) lives in France and works as a DevOps engineer. He loves to share his passion through various communities such as the HashiCorp User Group. In 2019, he wrote the first edition of this book, and in 2020, he wrote Terraform Cookbook (Packt Publishing), and also contributes to many public projects, writes blogs and books, and speaks at conferences. He is interested in HashiCorp products and specializes in the use of Terraform in several company contexts. For all his contributions and passion, he has received the Microsoft Most Valuable Professional (MVP) award, which Microsoft has awarded him for the last 6 years and he has been nominated and selected as a Hashicorp Ambassador since 2020. Vị trí tài liệu: https://opac.vnulib.edu.vn/record=b1439271~S17*vie#LibUIT #ThuvienĐHCNTT #KhoaMangmaytinhvaTruyenthong #NT548 #CôngnghệDevopsvàứngdụng
Nhan đề: Data and Computer Communications, 10th editionPublished by Pearson Education Limited. ISBN: 9781292014388. Number of pages: 912Tác giả: William Stallings Tài liệu đáp ứng cho môn học: NT105 - Truyền dữ liệu Mô tả:For a one/two-semester courses in Computer Networks, Data Communications, and Communications Networks in CS, CIS, and Electrical Engineering departments.With a focus on the most current technology and a convenient modular format, this best-selling text offers a clear and comprehensive survey of the entire data and computer communications field. Emphasising both the fundamental principles as well as the critical role of performance in driving protocol and network design, it explores in detail all the critical technical areas in data communications, wide-area networking, local area networking, and protocol design. Vị trí tài liệu: https://opac.vnulib.edu.vn/record=b1158289~S17*vie #LibUIT #ThuvienĐHCNTT #KhoaMangmaytinhvaTruyenthong #NT105 #Truyendulieu
[Giới thiệu sách mới]Nhan đề: Cryptography and Network Security: Principles and Practice, 8th, Global Edition. Published by Pearson, 2022, 833 pages. ISBN: 9781292437484Tác giả: William StallingsTài liệu đáp ứng cho môn học: - NT104: Lý thuyết thông tin- IE105: Nhập môn bảo đảm và an ninh thông tin- NT219: Mật mã học- NT331: Xây dựng chuẩn chính sách an toàn thông tin trong doanh nghiệpMô tả:Stallings’ Cryptography and Network Security: Principles and Practice introduces students to the compelling and evolving field of cryptography and network security. In an age of viruses and hackers, electronic eavesdropping, and electronic fraud on a global scale, security is paramount. The purpose of this book is to provide a practical survey of both the principles and practice of cryptography and network security. The first part of the book explores the basic issues to be addressed by a network security capability and provides a tutorial and survey of cryptography and network security technology. The latter part of the book deals with the practice of network security, covering practical applications that have been implemented and are in use to provide network security. Vị trí tài liệu: https://opac.vnulib.edu.vn/record=b1439174~S17*vie*Tham khảo thêm: https://openlibrary.telkomuniversity.ac.id/pustaka/196628/cryptography-and-network-security-principles-and-practice-global-edition-8-e-.html?utm_id=97758_v0_s00_e0_tv2_a1demo0jfj3iw5
[Giới thiệu sách mới] Nhan đề: Computer Security Principles and Practice, Global EditionPublished by Pearson, 2024, 1000 pages. ISBN-13 : 978-1292473291 Tác giả: Stallings W., Brown L.Tài liệu đáp ứng cho môn học: EC335 - An toàn và bảo mật thương mại điện tử Mô tả:Computer Security, 5th Edition features a balanced presentation of both principles and practice. It incorporates broad and comprehensive coverage of computer and network security with current developments and topics in the field. Principles, design approaches, standards, and real-world examples give you an understanding of both the theory and application of important concepts. Hands-on security education, research, programming and firewall projects give you practice applying the material. Hacking and lab exercises, real-world case studies, and security assessments further your understanding of text concepts. Vị trí tài liệu: https://opac.vnulib.edu.vn/record=b1439172~S21*vie
[Giới thiệu sách mới] Nhan đề: Computer Vision – Thị giác máy tínhCty TNHH Nhân Trí Việt giữ bản quyền bản tiếng Việt (2026). https://www.nhantriviet.com/RES-TGMT/Bản dịch tiếng Việt: Đỗ Hạnh Ba, Phạm Đức TânHiệu đính: Tiến sĩ Trương Phước Hưng - Giảng viên trường Đại học Khoa học Tự nhiên - Đại học Quốc gia Thành phố Hồ Chí MinhSố trang: 408Khổ sách: 21×26cm, ISBN: 9786326038187 Tài liệu đáp ứng cho môn học: CS231 - Nhập môn Thị giác máy tính. Mô tả:Mỗi ngày, bạn mở khóa điện thoại bằng khuôn mặt, gợi ý sản phẩm hiện ra đúng lúc bạn cần, xe tự lái cảm nhận làn đường trong tích tắc. Tất cả đều có chung một nền tảng: thị giác máy tính (computer vision), lĩnh vực cho phép máy móc không chỉ nhìn mà còn hiểu thế giới xung quanh.Cuốn sách được tổ chức theo ba tầng. Ở tầng thấp, sách trình bày các tác vụ xử lý ảnh nền tảng như siêu phân giải (super-resolution) và khử nhiễu (denoising). Ở tầng giữa, các phương pháp đối sánh đặc trưng (feature matching), tái dựng không gian ba chiều (3D reconstruction) và ước lượng độ sâu (depth estimation) mở ra cánh cửa vào nhận thức không gian. Ở tầng cao, người đọc tiếp cận các bài toán phân loại hình ảnh (image classification), phát hiện và theo dõi đối tượng (object detection & tracking), phân đoạn ngữ nghĩa (semantic segmentation) cùng học độ đo (metric learning).Phần cuối sách đề cập đến các hướng nghiên cứu đang phát triển mạnh, bao gồm mô hình sinh (generative models), mô hình khuếch tán (diffusion models), kỹ thuật nén và tăng tốc mô hình (model compression & acceleration), cùng các mô hình thị giác ngôn ngữ quy mô lớn (large vision–language models). Đây là mảnh đất của những khám phá đang diễn ra mỗi ngày, từ GPT-4V đến Stable Diffusion.Sách phù hợp với sinh viên và học viên cao học các ngành khoa học máy tính, kỹ thuật điện tử, tự động hóa; các kỹ sư muốn chuyển sang lĩnh vực trí tuệ nhân tạo (artificial intelligence); giảng viên và những nhà nghiên cứu cần tài liệu tham khảo có chiều sâu. Bạn không cần đọc từ đầu đến cuối mà có thể bắt đầu từ chương gần nhất với bài toán mình đang giải quyết.
[Giới thiệu sách mới]Nhan đề: Artificial Intelligence: A Modern Approach, 4th editionPublished byPearson, 2021.Tác giả: Stuart J. Russell and Peter Norvig Tài liệu đáp ứng cho môn học: - SE118: Hệ thống phần mềm tích hợp trí tuệ nhân tạo- NT539: AI ứng dụng trong mạng và truyền thông- CE340: Trí tuệ nhân tạo cho hệ thống nhúng- CS106: Trí tuệ nhân tạo- CS211: Trí tuệ nhân tạo nâng cao- CS311: Kỹ thuật lập trình trí tuệ nhân tạo- CS314: Lập trình symbolic trong trí tuệ nhân tạo- CS315: Máy học nâng caoTóm tắt:Thelong-anticipated revision of ArtificialIntelligence: A Modern Approach explores the full breadth and depth of the field of artificialintelligence (AI). The 4th Edition brings readers up to date on the latest technologies,presents concepts in a more unified manner, and offers new or expanded coverageof machine learning, deep learning, transfer learning, multi agent systems,robotics, natural language processing, causality, probabilistic programming,privacy, fairness, and safe AI.Vị trí tài liệu: https://opac.vnulib.edu.vn/record=b1431369~S17*vie
[Giới thiệu sách mới] Nhan đề: Learning Web Design: A Beginner’s Guide to HTML, CSS, Javascript, and Web Images, 6th EditionPublished by O'Reilly Media, 2025. Tác giả: Jennifer Niederst RobbinsTài liệu đáp ứng cho môn học: MSIS207 - Phát triển ứng dụng web Tóm tắt:Do you want to build web pages but have no prior experience? This friendly guide is the perfect place to start. You'll begin at square one, learning how the web and web pages work, and then steadily build from there. By the end of the book, you'll have the skills to create a simple site with multicolumn pages that adapt for mobile devices.Each chapter provides exercises to help you learn various techniques and short quizzes to make sure you understand key concepts.This thoroughly revised sixth edition is ideal for students and professionals of all backgrounds and skill levels. It's simple and clear enough for beginners yet thorough enough to be a useful reference for experienced developers keeping their skills up-to-date.‐ Build HTML pages with text, links, images, tables, and forms‐ Use style sheets (CSS) for formatting text, colors, backgrounds, page layout, and simple animation effects‐ Use CSS Flexbox and Grid Layout for sophisticated and flexible page designs‐ Learn the ins and outs of responsive web design to make web pages look great on all devices‐ Get an introductory lesson in JavaScript programming, and use it to add functionality to web pages‐ Understand the ways in which JavaScript has become central to the web development workflow‐ Create and optimize web images so they'll download as quickly as possible‐ Get to know the superpowers of the SVG formatThe sixth edition features a completely rewritten and expanded JavaScript section written by Aaron Gustafson that provides more opportunities to practice writing code. Vị trí tài liệu: https://opac.vnulib.edu.vn/record=b1439273~S1*vie
[Giới thiệu sách mới] Nhan đề: Python for Data Analysis - Data Wrangling with pandas, NumPy & Jupyter, 3rd EditionPublished by O'Reilly Media, 2022. Tác giả: Wes McKinneyTài liệu đáp ứng cho môn học: DS105 - Phân tích và trực quan dữ liệu Tóm tắt:Get the definitive handbook for manipulating, processing, cleaning, and crunching datasets in Python. Updated for Python 3.10 and pandas 1.4, the third edition of this hands-on guide is packed with practical case studies that show you how to solve a broad set of data analysis problems effectively. You'll learn the latest versions of pandas, NumPy, and Jupyter in the process.Written by Wes McKinney, the creator of the Python pandas project, this book is a practical, modern introduction to data science tools in Python. It's ideal for analysts new to Python and for Python programmers new to data science and scientific computing. Data files and related material are available on GitHub.‐ Use the Jupyter notebook and IPython shell for exploratory computing‐ Learn basic and advanced features in NumPy‐ Get started with data analysis tools in the pandas library‐ Use flexible tools to load, clean, transform, merge, and reshape data‐ Create informative visualizations with matplotlib‐ Apply the pandas groupby facility to slice, dice, and summarize datasets‐ Analyze and manipulate regular and irregular time series data‐ Learn how to solve real-world data analysis problems with thorough, detailed examples Vị trí tài liệu: https://opac.vnulib.edu.vn/record=b1439286~S1*vie
[Giới thiệu sách mới]Nhan đề: Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow, 3rd EditionPublished by O'Reilly Media, 2023. Tác giả: Aurelien GeronTài liệu đáp ứng cho môn học:- SE355: Học máy và công cụ- SE365: Học sâu ứng dụng trong phát triển phần mềm- CS114: Máy học- CS315: Máy học nâng cao- DS102: Học máy thống kê- IE102: Các công nghệ nền- MM107: Học máy ứng dụng trong TTĐPT Tóm tắt:Through a recent series of breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This bestselling book uses concrete examples, minimal theory, and production-ready Python frameworks (Scikit-Learn, Keras, and TensorFlow) to help you gain an intuitive understanding of the concepts and tools for building intelligent systems.With this updated third edition, author Aurélien Géron 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‐ Dive into neural net architectures, including convolutional nets, recurrent nets, generative adversarial networks, autoencoders, diffusion models, and transformers‐ Use TensorFlow and Keras to build and train neural nets for computer vision, natural language processing, generative models, and deep reinforcement learning Vị trí tài liệu:Tham khảo nguồn toàn văn, được cấp phép bởi MIT: https://github.com/xuyanshi/AI-ML/blob/main/Hands-On%20Machine%20Learning%20with%20Scikit-Learn%2C%20Keras%2C%20and%20TensorFlow.pdf?fbclid=IwY2xjawTruCFwZG9mBWV4dG4DYWVtAjEwAGJyaWQRMVVXS2JFTFlyMVFjd0RrM01zcnRjBmFwcF9pZBAyMjIwMzkxNzg4MjAwODkyAAEeEV7ZAtW2ZqIm1mPGkumDKueDuZBDZB04rFiR9Sp-km3eBf62P2v8RAHb7zs_aem_qBydpsxh7VCr1Q6DAKDTng
[Giới thiệu sách mới]Nhan đề: Designing Machine Learning Systems: An Iterative Process for Production-Ready ApplicationsPublished by O'Reilly Media, 2022.Tác giả: Chip HuyenTài liệu đáp ứng cho môn học: - CS317: Phát triển và vận hành hệ thống máy học- DS322: Thiết kế hệ thống học máy- DS327: Các mô hình nền tảng- DS316: Xây dựng ứng dụng thông minhTóm tắt:Machine learning systems are both complex and unique. Complex because they consist of many different components and involve many different stakeholders. Unique because they're data dependent, with data varying wildly from one use case to the next. In this book, you'll learn a holistic approach to designing ML systems that are reliable, scalable, maintainable, and adaptive to changing environments and business requirements.Author Chip Huyen, co-founder of Claypot AI, considers each design decision--such as how to process and create training data, which features to use, how often to retrain models, and what to monitor--in the context of how it can help your system as a whole achieve its objectives. The iterative framework in this book uses actual case studies backed by ample references.This book will help you tackle scenarios such as:‐ Engineering data and choosing the right metrics to solve a business problem‐ Automating the process for continually developing, evaluating, deploying, and updating models‐ Developing a monitoring system to quickly detect and address issues your models might encounter in production‐ Architecting an ML platform that serves across use cases‐ Developing responsible ML systemsVị trí tài liệu: Thư viện UIT
[Giới thiệu sách mới] Nhan đề: Digital marketingPublished by Pearson, 2025, 9th edition. Tác giả: Dave Chaffey, Fiona Ellis-ChadwickTài liệu đáp ứng cho môn học:- EC204: Marketing điện tử- EC311: Tiếp thị trực tuyến- MM108: Tiếp thị số Tóm tắtExplore how to create effective digital marketing strategies with this industry-leading textbook designed specifically for students.Digital Marketing 9th edition by Dave Chaffey and Fiona Ellis-Chadwick is a comprehensive guide that teaches you how to create digital marketing strategies, techniques, and systems in real-life scenarios. This book goes beyond theory by providing practical examples through engaging case studies and equipping you with the necessary digital skills needed in today's marketing landscape.Digital marketing has revolutionized how businesses and organizations communicate with their target audiences. By utilizing digital data and analytics, companies can gain valuable insights into their customers and tailor marketing campaigns for maximum impact. However, it's important to balance these data-driven approaches with considerations for customer privacy and security.This textbook covers all the essential concepts, techniques, and best practices in digital marketing. It combines cutting-edge academic models with hands-on knowledge and skills that will prepare you for a successful career in the field. You will learn how to leverage the opportunities that digital marketing offers while minimizing potential risks.This updated edition includes a new chapter on digital consumer behaviour, updated case studies from industry-leading companies as well as a Research Spotlight feature that discusses important academic research papers. Additionally, there is a thought-provoking debate on the future of marketing, giving you valuable insights into the distinct scope of digital marketing. Fully updated with the latest coverage of artificial intelligence and the impact of generative AI services through new case studies on Zalando, Brainlabs and new activities such as using GenAI tools to support different marketing activities.This book has a supporting website at Digital marketing strategy advice - Smart Insights Digital Marketing: https://www.smartinsights.com/
[Giới thiệu sách mới]Nhan đề: Database Systems: The Complete Book: Pearson New International EditionPublished byPearson, 2nd edition, 1140 pages.Tác giả: Hector Garcia-Mollina, Jeffrey D. Ullman, Jennifer WidomTài liệu đáp ứng cho môn học:- IT004: Cơ sở dữ liệu- IS210: Hệ quản trị cơ sở dữ liệu- IS211: Cơ sở dữ liệu phân tánTóm tắt:For Database Systems and Database Design and Application coursesWritten by well-known computer scientists, this introduction to database systems offers a comprehensive approach, focusing on database design, database use, and implementation of database applications and database management systems.The first half of the book provides in-depth coverage of databases from the point of view of the database designer, user, and application programmer. It covers the latest database standards SQL:1999, SQL/PSM, SQL/CLI, JDBC, ODL, and XML, with broader coverage of SQL than most other texts. The second half of the book provides in-depth coverage of databases from the point of view of the DBMS implementor. It focuses on storage structures, query processing, and transaction management. The book covers the main techniques in these areas with broader coverage of query optimisation than most other texts, along with advanced topics including multidimensional and bitmap indexes, distributed transactions, and information integration techniques.
THƯ VIỆN TRƯỜNG ĐẠI HỌC CÔNG NGHỆ THÔNG TIN ĐHQG-HCM
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