Название: An Introduction to Image Classification: From Designed Models to End-to-End Learning
Автор: Klaus D. Toennies
Издательство: Springer
Год: 2024
Страниц: 297
Язык: английский
Формат: pdf (true), epub
Размер: 69.6 MB

Image classification is a critical component in computer vision tasks and has numerous applications. Traditional methods for image classification involve feature extraction and classification in feature space. Current state-of-the-art methods utilize end-to-end learning with Deep Neural Networks, where feature extraction and classification are integrated into the model. Understanding traditional image classification is important because many of its design concepts directly correspond to components of a neural network. This knowledge can help demystify the behavior of these networks, which may seem opaque at first sight. The book starts from introducing methods for model-driven feature extraction and classification, including basic Computer Vision techniques for extracting high-level semantics from images. The topic of image classification is presented as a thoroughly curated sequence of steps that gradually increase understanding of the working of a fully trainable classifier. Practical exercises in Python/Keras/Tensorflow have been designed to allow for experimental exploration of these concepts. In each chapter, suitable functions from Python modules are briefly introduced to provide students with the necessary tools to conduct these experiments.

Название: Data Structures and Algorithms with Python: With an Introduction to Multiprocessing, 2nd Edition 2024 Edition
Автор: Kent D. Lee, Steve Hubbard
Издательство: Springer
Год: 2024
Страниц: 400
Язык: английский
Формат: pdf (true), epub
Размер: 71.3 MB

This textbook explains the concepts and techniques required to write programs that can handle large amounts of data efficiently. Project-oriented and classroom-tested, the book presents a number of important algorithms—supported by motivating examples—that bring meaning to the problems faced by computer programmers. The idea of computational complexity is introduced, demonstrating what can and cannot be computed efficiently at scale, helping programmers make informed judgements about the algorithms they use. A number of algorithms are introduced, and the need for them is motivated through examples that bring meaning to the problems we face as computer programmers. An algorithm is a well-defined procedure for accomplishing a task. Algorithms are an important part of Computer Science, and this text explores many algorithms to give you the background you need when writing programs of your own. The goal is that having seen some of the sorts of algorithms presented in this text, you will be able to apply these techniques to other programs you write in the future. The easy-to-read text assumes some basic experience in computer programming and familiarity in an object-oriented language, but not necessarily with Python.

Название: The Python Book - 17th Edition, 2024
Автор: Jon White (Editor)
Издательство: Future Publishing
Год: 2024
Страниц: 180
Язык: английский
Формат: pdf
Размер: 87.8 MB

Python - это невероятно универсальный, обширный язык, который благодаря своей схожести с повседневным английским языком, удивительно прост в изучении даже для неопытных программистов. Его популярность значительно возросла после выпуска и распространения Raspberry Pi, для которого Python является официально признанным языком программирования. В этом новом издании Python Book вы найдете множество творческих проектов, которые помогут вам освоить сочетание Raspberry Pi и мощного языка Python, а также множество уроков, посвященных использованию Python вне этого крошечного компьютера. Вы узнаете все о том, как писать на Python с самого начала, благодаря нашему всеобъемлющему мастер-классу, а затем перейдете к полным учебным пособиям, которые закрепят ваши навыки и помогут вам свободно владеть языком. Вы узнаете, как заставить Python работать на вас, благодаря учебным пособиям по программированию с Django, Flask, Pygame и другими полезными сторонними фреймворками. Приготовьтесь стать настоящим экспертом в области Python благодаря огромному количеству информации, содержащейся на этих страницах.

Название: Python for Beginners - 17th Edition, 2024
Автор: Papercut Limited
Издательство: Papercut Limited
Год: 2024
Страниц: 94
Язык: английский
Формат: pdf
Размер: 41.7 MB

Руководство "Начало работы с Python" научит вас основам Python, чтобы вы могли сразу же приступить к программированию! Это руководство по программированию на Python охватывает все, начиная с базового синтаксиса и заканчивая реализацией алгоритмов и структур данных. Оно научит вас писать базовые функции и выполнять алгоритмические задачи с помощью языка программирования. Примеры просты и полны, и вы сможете опираться на них, чтобы углубить свое понимание языка. В книге не рассматриваются продвинутые техники, но обсуждаются интересные расширения возможностей Python, такие как модули. Являясь введением в язык программирования Python, эта книга также охватывает все темы, необходимые для начала работы с Python, включая синтаксис, переменные, функции, модули и циклы.

Название: Edge Computational Intelligence for AI-Enabled IoT Systems
Автор: Shrikaant Kulkarni, Jaiprakash Narain Dwivedi, Dinda Pramanta
Издательство: CRC Press
Серия: Advances in Computational Collective Intelligence
Год: 2024
Страниц: 347
Язык: английский
Формат: pdf (true)
Размер: 33.7 MB

Edge computational intelligence is an interface between Edge Computing and Artificial Intelligence (AI) technologies. This interfacing represents a paradigm shift in the world of work by enabling a broad application areas and customer-friendly solutions. Edge computational intelligence technologies are just in their infancy. Edge Computational Intelligence for AI-Enabled IoT Systems looks at the trends and advances in edge computing and edge AI, the services rendered by them, related security and privacy issues, training algorithms, architectures, and sustainable AI-enabled IoT systems. Together, these technologies benefit from ultra-low latency, faster response times, lower bandwidth costs and resilience from network failure, and the book explains the advantages of systems and applications using intelligent IoT devices that are at the edge of a network and close to users. It explains how to make most of edge and cloud computing as complementary technologies or used in isolation for extensive and widespread applications. The advancement in IoT devices, networking facilities, parallel computation and 5G, and robust infrastructure for generalized machine learning have made it possible to employ edge computational intelligence in diverse areas and in diverse ways.

Название: Generative Artificial Intelligence: What Everyone Needs to Know
Автор: Jerry Kaplan
Издательство: Oxford University Press
Год: 2024
Страниц: 241
Язык: английский
Формат: pdf (true), epub
Размер: 10.1 MB

Advances in Generative Artificial Intelligence (GAI) have created a new class of computer systems that exhibit astonishing proficiency on a wide variety of tasks with superhuman performance, producing novel text, images, music, and software by analyzing enormous collections of digitized information. Soon, these systems will provide expert medical care; offer legal advice; draft documents; write computer programs; tutor our children; and generate music and art. These advances will accelerate progress in science, art, and human knowledge, but they will also bring new dangers. Over the past few years, rapid advances in Machine Learning have created a new subfield of Artificial Intelligence: Generative AI. These programs produce novel text, images, music, and software by analyzing enormous collections of digitized material. The first wave of GAIs are primarily focused on engaging in natural language conversation. Called “Large Language Models” (LLMs), they already exhibit astonishing proficiency on a wide variety of tasks with superhuman performance—​as well as a disturbing inclination for falsehood, illogic, and expressions of ersatz emotion, such as declaring their love for interlocutors. They chat with users in plain language and solve a broad range of complex problems with ease. Soon, LLMs will provide expert medical care, dispense legal advice, draft our documents, tutor our children, offer advice, conduct therapy, write computer programs, and manage our organizations and infrastructure. A related class of GAIs generate visual images from simple descriptions that are virtually indistinguishable from human artwork or photographs.

Название: Learning Java: An Introduction to Real-World Programming with Java, 6th Edition (Final)
Автор: Marc Loy, Patrick Niemeyer, Daniel Leuck
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 552
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.8 MB, 10.2 MB

Ideal for working programmers new to Java, this best-selling book guides you through the language features and APIs of Java 21. Through fun, compelling, and realistic examples, authors Marc Loy, Patrick Niemeyer, and Dan Leuck introduce you to Java's fundamentals, including its class libraries, programming techniques, and idioms, with an eye toward building real applications. This updated sixth edition expands the content to continue covering lambdas and streams, and shows you how to use a functional paradigm in Java. You'll learn about the latest Java features introduced since the book's fifth edition, from JDK 15 through 21. You'll also take a deep dive into virtual threads (introduced as Project Loom in Java 19). This book introduces the Java programming language and environment. Whether you are a software developer or just someone who uses the internet in your daily life, you’ve undoubtedly heard about Java. Its arrival was one of the most exciting developments in the history of the web, and Java applications continue to power business on the internet. Java is, arguably, the most popular programming language in the world, used by millions of developers on almost every kind of computer imaginable.

Название: Ruby Programming: Building Future-proof Scalable Applications
Автор: Theophilus Edet
Издательство: CompreQuest Books
Серия: Mastering Programming Languages Series
Год: 2024
Страниц: 545
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

Unleash the Power of Ruby! Embark on a transformative coding journey with "Ruby Programming: Building Future-proof Scalable Applications." This guide is your key to mastering one of today's most dynamic programming languages. If you're ready to go beyond syntax and unlock Ruby's full potential, your adventure begins here. Ruby isn't just a programming language; it's a versatile tool with applications across a myriad of domains. From web development using the powerful Ruby on Rails framework to serverless architectures, machine learning, microservices, and cross-platform development, this book sheds light on the diverse spectrum of applications where Ruby excels. Through practical examples and real-world scenarios, you'll witness Ruby's adaptability and efficacy in solving complex problems across different domains. At its core, Ruby is renowned for its versatility, allowing developers to seamlessly transition between procedural, object-oriented, and functional programming paradigms. "Ruby Programming" begins by unraveling the basics, ensuring a solid foundation for readers before embarking on the journey of building scalable applications. From simple scripts to complex web applications, Ruby's ease of use and expressiveness make it a powerful tool for a myriad of programming tasks.

Название: Calculus for Data Science
Автор: Hayden Van Der Post, Vincent Bisette
Издательство: Reactive Publishing
Год: 2024
Страниц: 338
Язык: английский
Формат: pdf, azw3, epub, mobi
Размер: 10.1 MB

In the rapidly evolving world of Data Science, proficiency in calculus serves as the foundation for tackling complex analytical challenges. "Calculus for Data Science" is the follow-up to the acclaimed best-seller that introduced you to the basics, now taking you on a deeper dive into the advanced techniques that will elevate your understanding and application of calculus in the Data Science field. This comprehensive guide is meticulously crafted for professionals who have grasped the essentials and are eager to extend their expertise into more sophisticated realms. With an emphasis on real-world applicability, "Calculus for Data Science" bridges the gap between theoretical constructs and their practical utility in data analysis, Machine Learning, and beyond. In Data Science, computational skills are as important as mathematical ones. A basic understanding of programming, particularly in languages like Python or R, will greatly enhance your ability to apply the concepts learned. Familiarity with data handling and manipulation techniques is also advantageous. Whether you are a student embarking on a Data Science career, a professional seeking to deepen your mathematical expertise, or a curious mind eager to explore the intersection of calculus and data, this book is for you.

Название: Starting Out With C++ From Control Structures to Objects (10th Edition)
Автор: Tony Gaddis
Издательство: Pearson Education
Год: 2021
Страниц: 1397
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

Starting Out with C++: From Control Structures through Objects presents C++ programming concepts and techniques in clear, easy-to-understand language. Using his hallmark accessible, step-by-step approach, author Tony Gaddis covers control structures, functions, arrays, and pointers before objects and classes. Every chapter includes clear and easy-to-read code listings, concise and practical real-world examples, focused explanations, and an abundance of exercises. The 10th Edition includes improvements and updates to reflect the latest modern C++ language features, including tuples, lambdas, and new syntactic constructs such as the if statement with initialization. This text teaches C++ in a step-by-step fashion. Each chapter covers a major set of topics and builds knowledge as the student progresses through the book. Although the chapters can be easily taught in their existing sequence, some flexibility is provided. The diagram shown in Figure P-1 suggests possible sequences of instruction.