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Results 2881-2890 of 3054 (Search time: 0.008 seconds).
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  • Sách/Book

  • Computer vision : algorithms and applications

    • Authors: Richard Szeliski (2022)

  • Computer Vision: Algorithms and Applications explores the variety of techniques used to analyze and interpret images. It also describes challenging real-world applications where vision is being successfully used, both in specialized applications such as image search and autonomous navigation, as well as for fun, consumer-level tasks that students can apply to their own personal photos and videos. More than just a source of "recipes" this exceptionally authoritative and comprehensive textbook/reference takes a scientific approach to the formulation of computer vision problems.
  • 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

  • Artificial intelligence : a modern approach

    • Authors: Stuart J. Russell (2021)

  • "Updated edition of popular textbook on Artificial Intelligence. This edition specific looks at ways of keeping artificial intelligence under control"--
  • Sách/Book

  • Unity in embedded system design and robotics : a step-by-step guide

    • Authors: Ata Jahangir Moshayedi (2023)

  • "Unity in Embedded System Design and Robotics is the first of its kind and provides a step-by-step guide to Unity for embedded system design and robotics. It is an open gateway for anyone who wants to learn Unity through real projects and examples and will be a particularly useful aid for both professionals and students in the fields of embedded system design and robotics. Each chapter contains a unique project, and the user will be guided through the different windows and sections of Unity every step of the way. The book also includes projects which connect Unity to Arduino and Raspberry Pi, which will help readers better understand various Unity applications in the real world"--
  • Sách/Book

  • Data Structures with Python: Get Familiar with the Common Data Structures and Algorithms in Python

    • Authors: Bhasin, Harsh (2023)

  • The book starts by introducing you to the fascinating world of data structures and algorithms. This book will help you learn about different algorithmic techniques such as Dynamic programming, Greedy algorithms, and Backtracking, and their applications in solving various computational problems. The book will then teach you how to analyze the complexity of Recursive algorithms. Moving on, the book will help you get familiar with the concept of Linked lists, which is an important foundation for understanding other data structures, such as Stacks and Queues, which are covered in detail later in this book. The book will also teach you about advanced data structures such as Trees and Graphs, their different types, and their applications. Towards the end, the book will teach you how to us...
  • 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

  • A common-sense guide to data structures and algorithms in JavaScript

    • Authors: Jay Wengrow (2024)

  • If you thought data structures and algorithms were all just theory, you're missing out on what they can do for your JavaScript code. Learn to use Big O notation to make your code run faster by orders of magnitude. Choose from data structures such as hash tables, trees, and graphs to increase your code's efficiency exponentially. With simple language and clear diagrams, this book makes this complex topic accessible, no matter your background. Every chapter features practice exercises to give you the hands-on information you need to master data structures and algorithms for your day-to-day work.
  • Sách/Book

  • Applied natural language processing with Python : implementing machine learning and deep learning algorithms for natural language processing

    • Authors: Taweh Beysolow (2018)

  • After reading this book, you will have the skills to apply these concepts in your own professional environment. What You Will Learn Utilize various machine learning and natural language processing libraries such as TensorFlow, Keras, NLTK, and Gensim Manipulate and preprocess raw text data in formats such as .txt and .pdf Strengthen your skills in data science by learning both the theory and the application of various algorithms Who This Book Is For You should be at least a beginner in ML to get the most out of this text, but you needn't feel that you need be an expert to understand the content