Название: Automata Theory: An Algorithmic Approach
Автор: Javier Esparza, Michael Blondin
Издательство: The MIT Press
Год: 2023
Страниц: 560
Язык: английский
Формат: epub (true)
Размер: 32.8 MB

A comprehensive introduction to automata theory that uses the novel approach of viewing automata as data structures. This textbook presents automata theory from a fresh viewpoint inspired by its main modern application, program verification, where automata are viewed as data structures for the algorithmic manipulation of sets and relations. This novel “automata as data structures” paradigm makes holistic connections between automata theory and other areas of computer science not covered in traditional texts, linking the study of algorithms and data structures with that of the theory of formal languages and computability. Esparza and Blondin provide incisive overviews of core concepts along with illustrated examples and exercises that facilitate quick comprehension of rigorous material.

Название: Programming Models (Computer Science Fundamentals)
Автор: Theophilus Edet
Издательство: CompreQuest Books
Год: 2023
ISBN: B0CJZ2SYK6
Страниц: 498
Формат: PDF
Размер: 29 Mб
Язык: English

In the ever-evolving world of software development, mastering programming models is the key to becoming a versatile and sought-after coder. Whether you're a seasoned developer looking to expand your skill set or a beginner ready to embark on a coding journey, "Programming Models" is your ultimate guide to conquering the digital landscape.

Название: Information-Driven Machine Learning: Data Science as an Engineering Discipline
Автор: Gerald Friedland
Издательство: Springer
Год: 2024
Страниц: 281
Язык: английский
Формат: pdf (true), epub
Размер: 16.7 MB

This groundbreaking book transcends traditional Machine Learning approaches by introducing information measurement methodologies that revolutionize the field. Stemming from a UC Berkeley seminar on experimental design for Machine Learning tasks, these techniques aim to overcome the 'black box' approach of Machine Learning by reducing conjectures such as magic numbers (hyper-parameters) or model-type bias. Information-based Machine Learning enables data quality measurements, a priori task complexity estimations, and reproducible design of Data Science experiments. The benefits include significant size reduction, increased explainability, and enhanced resilience of models, all contributing to advancing the discipline's robustness and credibility. While bridging the gap between Machine Learning and disciplines such as physics, information theory, and computer engineering, this textbook maintains an accessible and comprehensive style, making complex topics digestible for a broad readership. Information-Driven Machine Learning explores the synergistic harmony among these disciplines to enhance our understanding of Data Science modeling. Instead of solely focusing on the "how," this text provides answers to the "why" questions that permeate the field, shedding light on the underlying principles of Machine Learning processes and their practical implications.

Название: Algorithms and Data Structures for OOP With C#
Автор: Theophilus Edet
Издательство: CompreQuest Books
Год: 2023
Страниц: 503
Язык: английский
Формат: pdf
Размер: 33.2 MB

"Algorithms and Data Structures for OOP With C#" is an indispensable guide designed for C# programmers, computer science enthusiasts, and learners seeking to master the realm of Object-Oriented Programming (OOP), algorithms, and data structures. This comprehensive book serves as a gateway to understanding the core principles and advanced techniques behind OOP implementation using the C# programming language. Delve into an immersive journey that explores the fundamental concepts of algorithms, data structures, and their intricate relationship with OOP. Featuring an in-depth and practical approach, "Algorithms and Data Structures for OOP With C#" takes readers through a hands-on learning experience. From binary trees, hash tables, and sorting algorithms to dynamic programming and heuristic algorithms, this book offers detailed explanations, code samples, and real-world applications to solidify the understanding of complex concepts. Whether a student, developer, or programming enthusiast, this book serves as a definitive resource for mastering OOP principles and leveraging them to craft sophisticated solutions in C#.

Название: jаvascript Programming
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mastering Programming Languages Series
Год: 2023
Страниц: 441
Язык: английский
Формат: pdf
Размер: 34.4 MB

Unlock the Full Potential of jаvascript! jаvascript is the language that powers the modern web. From interactive websites to dynamic web applications, jаvascript is at the heart of it all. Whether you're a complete beginner or an experienced coder looking to master this versatile language, "jаvascript Programming" is your essential guide to becoming a jаvascript pro. What You'll Discover Inside: - A Step-by-Step Learning Path: Take a systematic journey through jаvascript, starting with the basics and progressing to advanced topics. You'll build a solid foundation and gain the skills you need to tackle real-world projects; - Hands-On Practice: Dive into practical examples and exercises that reinforce your learning. From writing your first lines of code to creating interactive web applications, you'll apply what you learn every step of the way; - Real-World Applications: Explore how jаvascript is used in the real world, from enhancing user interfaces and handling form submissions to making asynchronous API requests and building single-page applications (SPAs); - Advanced Techniques: Master advanced jаvascript concepts such as closures, ES6 features, error handling, and performance optimization. Elevate your coding skills and create high-quality, efficient code; - Server-Side jаvascript: Discover the power of Node.js and learn to write server-side jаvascript code. Build web servers, create APIs, and explore the world of full-stack development.

Название: Machine Learning Algorithms Simplified
Автор: Lino A Tharakan
Издательство: Tan Publishing
Год: 2023
Страниц: 217
Язык: английский
Формат: pdf
Размер: 18.8 MB

Machine Learning Simplified: A Comprehensive Guide to Supervised, Unsupervised, and Semi-Supervised Algorithms. In today's data-driven world, Machine Learning has become an essential tool for businesses and organizations of all sizes. This powerful technology enables computers to learn from data without being explicitly programmed, making it possible to solve complex problems and uncover hidden insights. However, understanding the intricacies of machine learning can be daunting, especially for those without a background in Computer Science or mathematics. Enter "Machine Learning Simplified," a comprehensive guide that breaks down the complex concepts of Machine Learning into easily understandable terms. This book is designed for anyone interested in learning about Machine learning, whether they are complete beginners or experienced professionals seeking to expand their knowledge. The book begins by introducing the fundamental concepts of supervised learning, where algorithms are trained on labeled data to learn a mapping from inputs to outputs. This section covers a wide range of supervised learning algorithms, including linear regression, logistic regression, decision trees, support vector machines, and neural networks.

Название: Machine Learning: A Guide to PyTorch, TensorFlow, and Scikit-Learn: Mastering Machine Learning With Python
Автор: Hayden Van Der Post
Издательство: Reactive Publishing
Год: 2023
Страниц: 663
Язык: английский
Формат: pdf
Размер: 46.2 MB

Unlock the full potential of machine learning with "Machine Learning," your essential guide to conquering the cutting-edge tools that are reshaping the landscape of Data Science and Artificial Intelligence (AI). Whether you're a student, a Data Science professional, or simply a tech enthusiast eager to delve into the world of Machine Learning, this book will serve as your roadmap to success. Leverage the power of the three dominant Machine Learning libraries—PyTorch, TensorFlow, and Scikit-Learn. This guide covers everything you need to excel in today’s AI-driven market. Tailored specifically for Pythonistas, this resource capitalizes on the simplicity and elegance of Python to make machine learning more approachable than ever before. Go beyond theory with practical examples that demonstrate how Machine Learning can solve actual problems and enhance the capabilities of your projects or business.

Название: Deep R Programming
Автор: Marek Gagolewski
Издательство: Independently published
Год: 2023-11-30 (v1.0.0.9002)
Страниц: 457
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Deep R Programming is a comprehensive and in-depth introductory course on one of the most popular languages for Data Science. It equips ambitious students, professionals, and researchers with the knowledge and skills to become independent users of this potent environment so that they can tackle any problem related to data wrangling and analytics, numerical computing, statistics, and Machine Learning. R is not just a statistical package. It is a general-purpose, high-level programming language that happens to be very powerful for numerical, data-intense computing activities of any kind. It offers extensive support for statistical, Machine Learning, data analysis, data wrangling, and data visualisation applications, but there is much more. Our aim is to learn the fundamentals of base R, which constitutes the ligua franca for all R users. We want to be able to indite code that everybody should understand; code that will work without modifications ten years from now (no slang!). Some readers will benefit from its being their first introduction to R (yet, without all the pampering). For others, this will be a fine course from intermediate to advanced (do not skip the first chapters, though).

Автор: Петин В. А.
Название: 77 проектов для Arduino
Издательство: М:, ДМК Пресс
Год: 2020
Страниц: 356
Формат: DJVU, PDF
Размер: 57 МБ
В книге представлено 77 экспериментов для Arduino — ценнейшего практического материала для обучения. Каждый эксперимент подразумевает поэтапное изучение электроники и программирования путем создания проектов на Ардуино. Процесс обучения от начала работы до готового устройства занимает не очень много времени....

Название: The Transformer Architecture: A Practical Guide to Natural Language Processing
Автор: Tommy Hogan
Издательство: Independently published
Серия: LLMs for Beginners to Experts
Год: 2023
Страниц: 179
Язык: английский
Формат: pdf
Размер: 14.6 MB

Experience the Future of Language Processing with "The Transformer Architecture: A Practical Guide to Natural Language Processing". This book is a comprehensive guide that covers everything you need to know to get started with Transformers, from the basics to advanced topics. The book is packed with practical examples that will help you learn by doing. Natural Language Processing (NLP) is the remarkable field where machines learn to comprehend, decipher, and even generate human language. Think of it as the bridge between how we communicate naturally and how computers analyze data. This bridge opens up a world of possibilities, from chatbots that talk to us like humans to translating languages in real-time and gauging sentiment in text. NLP has come a long way, and this book will be your guide to understanding one of its gamechanging advancements: the Transformer architecture.