Название: 3D Computer Vision: Foundations and Advanced Methodologies
Автор: Yu-Jin Zhang
Издательство: Springer/Publishing House of Electronics Industry
Год: 2024
Страниц: 479
Язык: английский
Формат: pdf
Размер: 10.9 MB

This book offers a comprehensive and unbiased introduction to 3D Computer Vision, ranging from its foundations and essential principles to advanced methodologies and technologies. Divided into 11 chapters, it covers the main workflow of 3D computer vision as follows: camera imaging and calibration models; various modes and means of 3D image acquisition; binocular, trinocular and multi-ocular stereo vision matching techniques; monocular single-image and multi-image scene restoration methods; point cloud data processing and modeling; simultaneous location and mapping; generalized image and scene matching; and understanding spatial-temporal behavior. Computer Vision is the use of computers to realize human visual functions, that is, the sensation, perception, processing, and interpretation of three-dimensional scenes in the objective world. The original purpose of vision research is to grasp and understand the image of the scene; identify and locate the objects in it; determine their own structure, spatial arrangement, and distribution; and explain the relationship between objects. The research goal of computer vision is to make meaningful judgments about actual objects and scenes in the objective world based on perceived images. Deep Learning uses cascaded multilayer nonlinear processing units for feature extraction and transformation, realizing multilevel feature representation and concept abstraction learning. Deep Learning still belongs to the category of Machine Learning, but compared with traditional machine learning methods, Deep Learning methods avoid the requirements for manual design features under traditional Machine Learning methods and show obvious effect advantages under Big Data.

Название: Converging Minds: The Creative Potential of Collaborative AI
Автор: Aleksandra Przegalinska, Tamilla Triantoro
Издательство: CRC Press
Год: 2024
Страниц: 171
Язык: английский
Формат: pdf (true)
Размер: 10.1 MB

This groundbreaking book explores the power of Collaborative AI in amplifying human creativity and expertise. Written by two seasoned experts in data analytics, Artificial Intelligence (AI), and Machine Learning, the book offers a comprehensive overview of the creative process behind AI-powered content generation. It takes the reader through a unique collaborative process between human authors and various AI-based topic experts, created, prompted, and fine-tuned by the authors. This book features a comprehensive list of prompts that readers can use to create their own ChatGPT-powered topic experts. By following these expertly crafted prompts, individuals and businesses alike can harness the power of AI, tailoring it to their specific needs and fostering a fruitful collaboration between humans and machines. With real-world use cases and deep insights into the foundations of Generative AI, the book showcases how humans and machines can work together to achieve better business outcomes and tackle complex challenges. Generative AI represents a category of supervised, unsupervised, and Deep Learning models designed to generate new data that resembles an existing data set. While discriminative models aim to classify or differentiate between different kinds of data, generative models mainly create. Popular examples include GANs, VAEs, and some types of RNNs. Converging Minds: The Creative Potential of Collaborative AI is essential reading for anyone interested in the transformative potential of AI-powered content generation and human-AI collaboration. It will appeal to data scientists, Machine Learning architects, prompt engineers, general computer scientists, and engineers in the fields of Generative AI and Deep Learning.

Название: Основы алгоритмизации и программирования
Автор: Лубашева Т. В. , Железко Б. А.
Издательство: РИПО
Год: 2016
Cтраниц: 378 с. : ил.
Формат: pdf (ocr)
Размер: 20 мб
Язык: русский

В учебном пособии раскрываются вопросы развития у обучающихся алгоритмического мышления, формирования знаний о свойствах алгоритмов и приобретения практических навыков разработки программ с использованием языка программирования Паскаль.

Название: Practical Machine Learning with R: Tutorials and Case Studies
Автор: Carsten Lange
Издательство: CRC Press
Год: 2024
Страниц: 369
Язык: английский
Формат: pdf (true)
Размер: 16.5 MB

This textbook is a comprehensive guide to Machine Learning and Artificial Intelligence tailored for students in business and economics. It takes a hands-on approach to teach Machine Learning, emphasizing practical applications over complex mathematical concepts. Students are not required to have advanced mathematics knowledge such as matrix algebra or calculus. The author introduces Machine Learning algorithms, utilizing the widely used R language for statistical analysis. Each chapter includes examples, case studies, and interactive tutorials to enhance understanding. No prior programming knowledge is needed. The book leverages the tidymodels package, an extension of R, to streamline data processing and model workflows. This package simplifies commands, making the logic of algorithms more accessible by minimizing programming syntax hurdles. The use of tidymodels ensures a unified experience across various Machine Learning models. R’s relatively simple syntax makes it easy for beginners to learn the language, making R a good choice for teaching Machine Learning. No prior programming skills are required to work with this book. This book is not just a textbook; it is a dynamic learning experience that empowers students and instructors alike with a practical and accessible approach to Machine Learning in business and economics.

Название: Карьера программиста
Автор: Гэйл Лакман Макдауэлл
Издательство: Москва
Год: 2021
Cтраниц: 735
Формат: pdf/djvu
Размер: 36 мб
Язык: русский

Книга «Карьера программиста» основана на опыте практического участия автора во множестве собеседований, проводимых лучшими компаниями. Это квинтэссенция сотен интервью со множеством кандидатов, результат ответов на тысячи вопросов, задаваемых кандидатами и интервьюерами в ведущих мировых корпорациях.

Название: Web API Cookbook: Level Up Your jаvascript Applications
Автор: Joe Attardi
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 286
Язык: английский
Формат: pdf (true), epub (true)
Размер: 10.1 MB

jаvascript gives web developers great power to create rich interactive browser experiences, and much of that power is provided by the browser itself. Modern web APIs enable web-based applications to come to life like never before, supporting actions that once required browser plug-ins. Some are still in an experimental stage, but many are ready for use today. With this hands-on cookbook, author Joe Attardi helps you explore the powerful APIs available in modern browsers and guides you through the specific tasks that they unlock. Because these features are web standards, there is comprehensive documentation available from trusted resources such as MDN Web Docs. The knowledge you'll gain is transferable across different companies and projects. A Web API is a series of global objects and functions exposed by the browser. Your jаvascript code can use these to interact with the Document Object Model (DOM), perform network communication, integrate with native device features, and much more. This book is intended for software developers with some experience with jаvascript who want to get the most out of the web platform. It assumes that you have a good knowledge of the jаvascript language itself: syntax, language features, and standard library functions.

Название: Software Engineering for Data Scientists: From Notebooks to Scalable Systems (Final)
Автор: Catherine Nelson
Издательство: O’Reilly Media, Inc.
Год: 2024
Страниц: 258
Язык: английский
Формат: pdf (true), epub (true)
Размер: 11.7 MB

Data Science happens in code. The ability to write reproducible, robust, scaleable code is key to a data science project's success—and is absolutely essential for those working with production code. This practical book bridges the gap between data science and software engineering,and clearly explains how to apply the best practices from software engineering to Data Science. All the code examples in this book are written in Python, and many of the chapters describe Python-specific tools. In recent years, Python has become the most popular programming language for Data Science. Python has an extremely solid set of open source libraries for data science, with good backing and a healthy community of maintainers. Large trend-setting companies have chosen Python for their main ML frameworks, including TensorFlow (Google) and PyTorch (Meta). Because of this, Python appears to be especially popular among data scientists working on production Machine Learning code, where good coding skills are particularly important. In my experience, the Python community has been friendly and welcoming, with many excellent events that have helped me improve my skills. It’s my preferred programming language, so it was an easy choice for this book. This book is aimed at data scientists, but people working in closely related fields such as data analysts, Machine Learning (ML) engineers, and data engineers will also find it useful.

Название: Natural Language Processing using R Pocket Primer
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2022
Страниц: 266
Язык: английский
Формат: pdf (true), epub, mobi
Размер: 10.1 MB

This book is for developers who are looking for an overview of basic concepts in Natural Language Processing using R. It casts a wide net of techniques to help developers who have a range of technical backgrounds. Numerous code samples and listings are included to support myriad topics. The final chapter presents the Transformer Architecture, BERT-based models, and the GPT family of models, all of which were developed during the past three years. You will be exposed to various NLP and Machine Learning topics in this book, some of which are presented in a cursory manner for two reasons. First, it’s important that you be exposed to these concepts. In some cases, you will find topics that might pique your interest, and hence motivate you to learn more about them through self-study; in other cases, you will probably be satisfied with a brief introduction. Hence, you can decide whether to delve into more detail regarding the topics in this book. Second, a full treatment of all the topics that are covered in this book would probably triple its page count, and few people are interested in reading long technical books. Hence, this book provides a decent view of the NLP and Machine Learning landscape, based on the belief that this approach will be more beneficial for readers who are experienced developers who want to learn about NLP and Machine Learning. Specifically, you will learn about the transformer architecture, the pre-trained BERT model and its variants, and features of GPT-2 and GPT-3 from OpenAI. Please note that this chapter contains Python-based code samples.

Название: Node.js Web Development For Beginners: A Step-By-Step Guide to Build an MVC Web Application With Node.js, Express, and MongoDB
Автор: Nathan Sebhastian
Издательство: Independently published
Год: 2024
Страниц: 253
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Are you having trouble learning Node.js? Struggling to create a web application using Node.js? Node.js Web Development For Beginners is the guide you need to learn Node.js quickly and in the right order. With this book, you will see and know how to develop a working web application from scratch using Node.js and Express. Each chapter explains a topic in plain English and includes practical code examples. There's also a full stack project included in this book that will give you the "experience" of building a web application using Node.js. Complete Source Code Included. Most books didn't come with the source code, leaving you discouraged and unable to follow along. I believe you need to inspect and understand every part of the code used in this book. That's why I share the source code with you, integrated at the end of each chapter. No prior knowledge of Node.js is required to get the full benefit of this book, but you do need some basic knowledge of jаvascript.

Название: Foundations of Computer Vision
Автор: Antonio Torralba, Phillip Isola, William T. Freeman
Издательство: The MIT Press
Серия: Adaptive Computation and Machine Learning series
Год: 2024
Страниц: 240
Язык: английский
Формат: epub
Размер: 79.1 MB

An accessible, authoritative, and up-to-date computer vision textbook offering a comprehensive introduction to the foundations of the field that incorporates the latest Deep Learning advances. Machine Learning has revolutionized computer vision, but the methods of today have deep roots in the history of the field. Providing a much-needed modern treatment, this accessible and up-to-date textbook comprehensively introduces the foundations of computer vision while incorporating the latest deep learning advances. Taking a holistic approach that goes beyond Machine Learning, it addresses fundamental issues in the task of vision and the relationship of machine vision to human perception. Foundations of Computer Vision covers topics not standard in other texts, including transformers, diffusion models, statistical image models, issues of fairness and ethics, and the research process. To emphasize intuitive learning, concepts are presented in short, lucid chapters alongside extensive illustrations, questions, and examples. Written by leaders in the field and honed by a decade of classroom experience, this engaging and highly teachable book offers an essential next-generation view of computer vision.