Название: Jumping Computation: Updating Automata and Grammars for Discontinuous Information Processing
Автор: Alexander Meduna, Zbyněk Křivka
Издательство: CRC Press
Год: 2024
Страниц: 294
Язык: английский
Формат: pdf (true)
Размер: 14.5 MB

Jumping Computation: Updating Automata and Grammars for Discontinuous Information Processing is primarily a theoretically oriented treatment of jumping automata and grammars, covering all essential theoretical topics concerning them, including their power, properties, and transformations. From a practical viewpoint, it describes various concepts, methods, algorithms, techniques, case studies and applications based upon these automata and grammars. In today’s computerized world, the scientific development and study of computation, referred to as the theory of computation, plays a crucial role. One important branch, language theory, investigates how to define and study languages and their models, which formalize algorithms according to which their computation is executed. These language-defining models are classified into two basic categories: automata, which define languages by recognizing their words, and grammars, which generate them. Introduced many decades ago, these rules reflect classical sequential computation. However, today’s computational methods frequently process information in a fundamentally different way, frequently “jumping” over large portions of the information as a whole. This book adapts classical models to formalize and study this kind of computation properly. Simply put, during their language-defining process, these adapted versions, called jumping automata and grammars, jump across the words they work on.

Название: Quantum Computing by Practice: Python Programming in the Cloud with Qiskit and IBM-Q, Second Edition
Автор: Vladimir Silva
Издательство: Apress
Год: 2024
Страниц: 412
Язык: английский
Формат: pdf (true), epub (true)
Размер: 17.1 MB

Learn to write algorithms and program in the new field of quantum computing. This second edition is updated to equip you with the latest knowledge and tools needed to be a complex problem-solver in this ever-evolving landscape. The book has expanded its coverage of current and future advancements and investments by IT companies in this emerging technology. Most chapters are thoroughly revised to incorporate the latest updates to IBM Quantum's systems and offerings, such as improved algorithms, integrating hardware advancements, software enhancements, bug fixes, and more. You’ll examine quantum computing in the cloud and run experiments there on a real quantum device. Along the way you’ll cover game theory with the Magic Square, an example of quantum pseudo-telepathy. You’ll also learn to write code using QISKit, Python SDK, and other APIs such as QASM and execute it against simulators (local or remote) or a real quantum computer. Then peek inside the inner workings of the Bell states for entanglement, Grover’s algorithm for linear search, Shor’s algorithm for integer factorization, and other algorithms in the fields of optimization, and more. Finally, you’ll learn the current quantum algorithms for entanglement, random number generation, linear search, integer factorization, and others.

Название: Supervised Machine Learning with Python: A Comprehensive guide to Supervised Learning for 2024
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2023
Страниц: 365
Язык: английский
Формат: pdf
Размер: 54.4 MB

Push the boundaries of Machine Learning with Python and elevate your data analysis skills to new heights! 'Supervised Machine Learning with Python' is the essential guide for professionals who have mastered the basics and are ready to dive into the more complex and powerful aspects of machine learning. If you were captivated by the top-selling introductory texts, this book is the perfect next step to satisfy your thirst for advanced knowledge. With clear explanations, practical examples, and expert techniques, this book will help you unlock deeper insights from your data. Inside, you will find advanced strategies for model selection, feature engineering, and tuning that will enable you to achieve superior predictive performance. 'Supervised Machine Learning with Python' is specifically designed for professionals who are ready to use Python's powerful libraries, such as Scikit-learn, Pandas, and NumPy, to deploy models that can learn from data. You'll learn not only the theory behind the algorithms but also how to implement them in practice to solve the kind of data analytical problems you encounter every day. In these pages, you will find advanced case studies that vividly illustrate the applications of supervised Machine Learning in various industries. Whether you work in finance, healthcare, retail, or any other field where data drives decisions, this book is tailored to help you add a new level of sophistication to your work.

Название: Improve Java Coding: Best Practices for Effective Coding
Автор: Sar Maroof
Издательство: Independently published
Год: 2023
Страниц: 452
Язык: английский
Формат: pdf
Размер: 45.0 MB

The journey of improving coding skills continues even after learning programming. The key question becomes: How can one write code professionally while addressing critical concerns such as code maintainability, code re-usability, security issues, and memory leaks? This book focuses on real-world code examples, aiming to avoid unnecessary, boring, extended theoretical discussions. Instead, it goes straight to the point in coding and offers improvements with clear explanations. Any building is eventually finished, but successful software is never truly finished. New features need to be built, causing the code base to grow over time, and concerns about maintainability grow with it if programmers don't pay serious attention to it. If you asked an expert and a junior programmer to write code for a specific program, you would realize that the expert accomplishes the goal with significantly less code than the junior programmer. Every extra line of code written unnecessarily creates more issues in terms of maintainability, opening the doors to hacking and security vulnerabilities. The problem with coding is not that poorly written code doesn't work; the real problem is that it does. Therefore, it can be challenging for an inexperienced programmer to realize what a better version could be. In this book, I will provide you with common mistakes through different pieces of code that function correctly, but I will also explain why it is crucial to avoid that kind of coding, even though it works. Before diving into the chapters, let's highlight a few code issues to help you determine whether this book will benefit you. The code examples provide a preview of this book's approach to assist you in improving your Java coding.

Название: ITS-303 Python Programming Realistic Mock Tests: 340+ Realistic questions and explanations to get you ITS-303 Exam certified on your 1st attempt
Автор: Abound Academy
Издательство: Abound Academy
Год: 2023
Страниц: 455
Язык: английский
Формат: epub
Размер: 38.8 MB

Welcome to Python Programming Practice Tests book, a comprehensive guide filled with practice tests designed to help you prepare for the ITS-303 Python certification exam. The book is intended for individuals who have basic knowledge of Python programming and are seeking to obtain the ITS-303 certification to validate their skills. The ITS-303 certification is a valuable asset in today's job market as it demonstrates your proficiency in Python programming. However, passing the exam can be challenging, and it requires a lot of preparation and practice. That's where this book comes in handy. This book provides you with more than 340 realistic Python questions and detailed explanations to help you prepare for the ITS-303 certification exam. The questions are arranged in chapters that cover all the essential topics in Python programming, including data types, functions, control structures, object-oriented programming, file handling, and more. Each chapter contains multiple choice questions, true/false questions, and scenario-based questions to give you a comprehensive understanding of Python programming. The questions are designed to mimic the ITS-303 certification exam, so you can get a feel for the types of questions you may encounter on the actual test. The explanations provided for each question are thorough and detailed, helping you to understand the underlying concepts and principles of Python programming. Additionally, the explanations include references to relevant Python documentation, so you can further your understanding of the language. Learning Python is a great investment for anyone who wants to pursue a career in software development or data analysis, or who wants to expand their skill set in these fields.

Название: Machine Learning Crash Course for Engineers
Автор: Eklas Hossain
Издательство: Springer
Год: 2024
Страниц: 465
Язык: английский
Формат: pdf
Размер: 12.7 MB

​Machine Learning Crash Course for Engineers is a reader-friendly introductory guide to Machine Learning algorithms and techniques for students, engineers, and other busy technical professionals. The book focuses on the application aspects of Machine Learning, progressing from the basics to advanced topics systematically from theory to applications and worked-out Python programming examples. It offers highly illustrated, step-by-step demonstrations that allow readers to implement Machine Learning models to solve real-world problems. This powerful tutorial is an excellent resource for those who need to acquire a solid foundational understanding of Machine Learning quickly. Python and R are the two most highly used programming languages for developing ML programs. Python will be used as the only programming language in all examples of this book due to its ease of use, popularity, and the large, friendly, helpful, and interactive community Python encompasses. It is open-source, highly used in academic and research-based works, and is recommended by experts in almost every field. It is very efficient in terms of the amount of code needed to be written. The short, simple lines of Python code with obvious implications can be easily handled by beginners and are easy to read, debug, and expand. Python is also a cross-platform programming language, implying that it can run well on all operating systems and computers. The most used ML libraries are NumPy, Pandas, Scipy, Theano, Keras, Scikit-learn, Matplotlib, etc., while the most common frameworks are PyTorch and TensorFlow.

Название: Understanding Deep Learning
Автор: Simon J.D. Prince
Издательство: The MIT Press
Год: December 5, 2023
Страниц: 544
Язык: английский
Формат: pdf (true), epub (true)
Размер: 21.3 MB, 37.9 MB

An authoritative, accessible, and up-to-date treatment of Deep Learning that strikes a pragmatic middle ground between theory and practice. Deep Learning is a fast-moving field with sweeping relevance in today’s increasingly digital world. Understanding Deep Learning provides an authoritative, accessible, and up-to-date treatment of the subject, covering all the key topics along with recent advances and cutting-edge concepts. Many deep learning texts are crowded with technical details that obscure fundamentals, but Simon Prince ruthlessly curates only the most important ideas to provide a high density of critical information in an intuitive and digestible form. From machine learning basics to advanced models, each concept is presented in lay terms and then detailed precisely in mathematical form and illustrated visually. The result is a lucid, self-contained textbook suitable for anyone with a basic background in applied mathematics.

Название: MATLAB Parallel Computing Toolbox User’s Guide (R2023b)
Автор: MathWorks
Издательство: The MathWorks, Inc.
Год: September 2023
Страниц: 1216
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Perform parallel computations on multicore computers, GPUs, and computer clusters. Parallel Computing Toolbox lets you solve computationally and data-intensive problems using multicore processors, GPUs, and computer clusters. High-level constructs—parallel for-loops, special array types, and parallelized numerical algorithms—enable you to parallelize MATLAB applications without CUDA or MPI programming. The toolbox lets you use parallel-enabled functions in MATLAB and other toolboxes. You can use the toolbox with Simulink to run multiple simulations of a model in parallel. Programs and models can run in both interactive and batch modes. The toolbox lets you use the full processing power of multicore desktops by executing applications on workers (MATLAB computational engines) that run locally. Without changing the code, you can run the same applications on clusters or clouds (using MATLAB Parallel Server). You can also use the toolbox with MATLAB Parallel Server to execute matrix calculations that are too large to fit into the memory of a single machine. Parallel Computing Toolbox provides you with tools for a local cluster of workers on your client machine. MATLAB Parallel Server software allows you to run as many MATLAB workers on a remote cluster of computers as your licensing allows.

Название: Pro Cryptography and Cryptanalysis with C++23: Creating and Programming Advanced Algorithms, 2nd Edition
Автор: Marius Iulian Mihailescu, Stefania Loredana Nita
Издательство: Apress
Год: 2023
Страниц: 499
Язык: английский
Формат: pdf (true), epub (true)
Размер: 31.3 MB

Develop strong skills for writing cryptographic algorithms and security schemes/modules using C++23 and its new features. This book will teach you the right methods for writing advanced cryptographic algorithms, such as elliptic curve cryptography algorithms, lattice-based cryptography, searchable encryption, and homomorphic encryption. You'll also examine internal cryptographic mechanisms and discover common ways in which the algorithms can be implemented and used correctly in practice. The authors explain the mathematical basis of cryptographic algorithms in terms that a programmer can easily understand. They also show how “bad” cryptography can creep in during implementation and what “good” cryptography should look like by comparing advantages and disadvantages based on processing time, execution time, and reliability.

Название: Робототехника. Управление квадрокоптером. 8–11 классы
Автор: Д. Г. Копосов
Издательство: Просвещение
Год: 2021
Cтраниц: 128, цвет.ил.
Формат: pdf
Размер: 32 мб
Язык: русский

Учебное пособие представляет учащимся практические задачи, связанные с программным управлением квадрокоптерами. Рассматриваются примеры управления квадрокоптером Tello EDU с помощью языка программирования Python и среды PcCharm. Представлены задания по работе с OpenCV – библиотекой компьютерного зрения.