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  • 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

  • Wireless ad-hoc and sensor networks : architecture, protocols, and applications

    • Authors: Pawan Singh (2024)

  • "The book presents theoretical and experimental approaches, quantitative and qualitative analysis, and simulations in wireless ad-hoc and sensor networks. It further explains the power, and routing optimization in underwater sensor networks, advanced cross-layer framework, challenges, security issues in underwater sensor networks, and the use of machine learning and deep learning techniques for security implementations in wireless ad-hoc and sensor networks. This book: Discusses mobile ad-hoc network routing issues and challenges with node mobility and resource limitations. Cover the internet of vehicles, autonomous vehicle architecture, and design of heterogeneous wireless sensor networks. Presents various technologies of ad-hoc networks, use of machine learning, and deep learning ...
  • Sách/Book

  • Transformers for natural language processing : build, train, and fine-tune deep neural network architectures for NLP with Python, PyTorch, TensorFlow, BERT, and GPT-3

    • Authors: Denis Rothman (2022)

  • The book investigates machine translations, speech-to-text, text-to-speech, question-answering, and many more NLP tasks. It provides techniques to solve hard language problems and may even help with fake news anxiety (read chapter 13 for more details).You'll see how cutting-edge platforms, such as OpenAI, have taken transformers beyond language into computer vision tasks and code creation using Codex.By the end of this book, you'll know how transformers work and how to implement them and resolve issues like an AI detective!What you will learnFind out how ViT and CLIP label images (including blurry ones!) and create images from a sentence using DALL-EDiscover new techniques to investigate complex language problemsCompare and contrast the results of GPT-3 against T5, GPT-2, and BERT-b...
  • Sách/Book

  • Advanced applications of Python data structures and algorithms

    • Authors: Mohammad Gouse Galety (2023)

  • "Assist in understanding and applying the fundamentals of data structures and their many implementations. Data structures play a critical role in creating efficient applications. To improve one's ability to solve problems by utilizing proper data formats. Upon successful completion of reading this textbook, students will have gained the ability to: Recognize and use the most fundamental types of data structures and algorithms. Be familiar with the advantages and disadvantages of various data structures. Use the proper data structure in the given problem's solution context. Improve your ability to program to address a particular problem. To distinguish between programmers and non-programmers, it is necessary to know about Data Structures and Algorithms"--
  • Sách/Book

  • The problem solver's guide to coding

    • Authors: Nhut Nguyen (2024)

  • The Problem Solver’s Guide to Coding presents challenges covering fundamental data structures, algorithms, and mathematical problems. Challenges are grouped in top- ics, starting with the simplest data structure - Array. Most are arranged in order of increasing difficulty, but you can pick any chapter or any challenge to start since I write each independently to the other.
  • Sách/Book

  • Learning SQL : generate, manipulate, and retrieve data

    • Authors: Alan Beaulieu. (2020)

  • With the latest edition of this introductory guide, author Alan Beaulieu helps developers get up to speed with SQL fundamentals for writing database applications, performing administrative tasks, and generating reports. You’ll find new chapters on SQL and big data, analytic functions, and working with very large databases.
  • Sách/Book

  • Systems Engineering: Complex Systems Design, Analysis, Programming, and Maintenance

    • Authors: Germano Lambert-Torres (2024)

  • This book discusses applications of system engineering in different classes of problems and examines how a given solution for a specific problem can be transported and applied to solve another problem. It provides practical and theoretical explanations of problems, explores the application of system engineering tools, and describes the use of intelligent techniques.
  • 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.