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Results 1211-1220 of 1488 (Search time: 0.098 seconds).
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  • Sách/Book

  • Introduction to Algorithms & Data Structures 2 : A solid foundation for the real world of machine learning and data analytics

    • Authors: Bolakale Aremu (2023)

  • This book is the second volume of a four-part series titled Introduction to Algorithms & Data Structures. The design of an efficient algorithm for the solution of the problem calls for the inclusion of appropriate data structures. In the field of computer science, data structures are used to store and organize data in a way that is easy to understand and use. They are used to organize and represent data in a way that will make it easier for computers to retrieve and analyze it. These are the fundamental building blocks that any programmer must know how to use correctly in order to build their own programs.
  • Sách/Book

  • Concepts, applications, experimentation and analysis of wireless sensor networks

    • Authors: Hossam M. A. Fahmy (2023)

  • The third edition of this hands-on textbook pursues the focus on the principles of wireless sensor networks (WSNs), their applications, their protocols and standards, and their analysis and test tools; a meticulous care has been accorded to the definitions and terminology. To make WSNs felt and seen, the adopted technologies as well as their manufacturers are presented in detail. In introductory computer networking books, chapters sequencing follows the bottom up or top down architecture of the seven layers protocol. This book is some more steps after, both horizontally and vertically, the view and understanding are getting clearer, chapters ordering is based on topics significance to the elaboration of wireless sensor networks (WSNs) concepts and issues.
  • Sách/Book

  • Cryptography : theory and practice

    • Authors: Douglas R. Stinson (2019)

  • Through three editions, Cryptography: Theory and Practice, has been embraced by instructors and students. It offers a comprehensive primer for the subject’s fundamentals and features the most current advances. The fourth edition provides in-depth treatment of the methods and protocols that safeguard the information circulating around the world.
  • Sách/Book

  • A textbook of data structures and algorithms 1: mastering linear data structures

    • Authors: G A Vijayalakshmi Pai (2022)

  • Data structures and algorithms is a fundamental course in Computer Science, which enables learners across any discipline to develop the much-needed foundation of efficient programming, leading to better problem solving in their respective disciplines. A Textbook of Data Structures and Algorithms is a textbook that can be used as course material in classrooms, or as self-learning material. The book targets novice learners aspiring to acquire advanced knowledge of the topic.
  • Sách/Book

  • Advances in Optimization and Linear Programming

    • Authors: Ivan Stanimirović (2022)

  • It gives a brief description of classic algorithms for solving linear programming problems as well as some theoretical results. It goes on to explain the definitions and solutions of linear programming problems, outlining the simplest geometric methods and showing how they can be implemented. Practical examples are included along the way. The book concludes with a discussion of multi-criteria decision-making methods. Advances in Optimization and Linear Programming is a highly useful guide to linear programming for professors and students in optimization and linear programming.
  • Sách/Book

  • Design and analysis of thermal systems

    • Authors: Malay Kumar Das (2023)

  • This book is aimed at senior undergraduate/graduate students and industry professionals in mechanical engineering, thermo-fluids, HVAC, energy engineering, power engineering, chemical engineering, nuclear engineering
  • Sách/Book

  • FastAPI : modern Python web development

    • Authors: Bill Lubanovic (2023)

  • "FastAPI is a young yet solid framework that takes advantage of newer Python features in a clean design. As its name implies, FastAPI is indeed fast, rivaling similar frameworks in languages such as Golang. With this practical book, developers familiar with Python will learn how FastAPI lets you accomplish more in less time with less code. Author Bill Lubanovic covers the nuts and bolts of FastAPI development with how-to guides on various topics such as forms, database access, graphics, maps, and more that will take you beyond the basics. The book also gets you up to speed on RESTful APIs, data validation, authorization, and performance. With its similarities to frameworks like Flask and Django, you'll find it easy to get started with FastAPI."
  • Sách/Book

  • Practical Natural Language Processing with Python: With Case Studies from Industries Using Text Data at Scale

    • Authors: Mathangi Sri (2021)

  • This book focuses on how natural language processing (NLP) is used in various industries. Each chapter describes the problem and solution strategy, then provides an intuitive explanation of how different algorithms work and a deeper dive on code and output in Python. Practical Natural Language Processing with Python follows a case study-based approach. Each chapter is devoted to an industry or a use case, where you address the real business problems in that industry and the various ways to solve them. You start with various types of text data before focusing on the customer service industry, the type of data available in that domain, and the common NLP problems encountered.
  • Sách/Book

  • Power system control and stability

    • Authors: Vijay Vittal (2020)

  • The third edition of the landmark book on power system stability and control, revised and updated with new material The revised third edition of Power System Control and Stability continues to offer a comprehensive text on the fundamental principles and concepts of power system stability and control as well as new material on the latest developments in the field. The third edition offers a revised overview of power system stability and a section that explores the industry convention of q axis leading d axis in modeling of synchronous machines.
  • Sách/Book

  • Mathematical methods in linguistics

    • Authors: Partee, Barbara Hall (1990)

  • The section on algebra is presented with an emphasis on lattices as well as Boolean and Heyting algebras. Background for recent research in natural language semantics includes sections on lambda-abstraction and generalized quantifiers. Chapters on automata theory and formal languages contain a discussion of languages between context-free and context-sensitive and form the background for much current work in syntactic theory and computational linguistics. The many exercises not only reinforce basic skills but offer an entry to linguistic applications of mathematical concepts.