Название: Алгоритмы и структуры данных. Новая версия для Оберона
Автор: Вирт Н.
Издательство: М.: ДМК Пресс
Год: 2010
Cтраниц: 272
Формат: pdf
Размер: 14 мб
Язык: русский

В классическом учебнике тьюринговского лауреата Н. Вирта аккуратно, на тщательно подобранных примерах прорабатываются основные темы алгоритмики - сортировка и поиск, рекурсия, динамические структуры данных. Перевод на русский язык выполнен заново, все рассуждения и программы проверены и исправлены, часть примеров по согласованию с автором переработана с целью максимального прояснения их логики (в том числе за счет использования цикла Дейкстры).

Название: 100 Java Mistakes and How to Avoid Them (MEAP v5)
Автор: Tagir Valeev
Издательство: Manning Publications
Год: 2023
Страниц: 285
Язык: английский
Формат: pdf, epub
Размер: 11.8 MB

Dodge the common mistakes that even senior developers make, take full advantage of static analysis tools, and deliver robust and error-free Java code. Whenever you make a mistake writing Java, it’s almost guaranteed that someone else has made it before! In 100 Java Mistakes and How To Avoid Them you’ll learn about the common and the not-so-common antipatterns, errors, and tricky bits that trip up almost every Java developer. Discover the bugs that are hiding in your Java code, and explore useful and effective ways to dodge them—from unit tests and defensive coding to static analysis tools like IntelliJ IDEA, SonarLint, and Error Prone.

Название: Concepts of Artificial Intelligence and its Application in Modern Healthcare Systems
Автор: Deepshikha Agarwal, Khushboo Tripathi, Kumar Krishen
Издательство: CRC Press
Год: 2024
Страниц: 325
Язык: английский
Формат: pdf (true)
Размер: 32.1 MB

This reference text presents the usage of Artificial Intelligence (AI) in healthcare and discusses the challenges and solutions of using advanced techniques like wearable technologies and image processing in the sector. Machine Learning is the ability of machines or computers to learn without being programmed. It uses numerous algorithms to analyze and evaluate data, and, after analyzing the data, learn from it, and then make judgments or deliver an output. In the field of medical imaging, conventional Machine Learning methods have been applied more recently. With rapidly enhancing computational capacity, along with the readiness of massive volumes of clinical data, traditional Machine Learning (statistical tools based) has been replaced by the neural network-based Deep Learning. Too many complex patterns can be trained, learned, and acquired by Deep Learning compared to traditional Machine Learning systems. Therefore, Machine Learning algorithms permit systems to execute a task by training the machines by applying accessible data to inputs. On the other hand, Deep Learning is a subset of Machine Learning, which is based on biological neural network-learning representations for solving complex problems as humans do.

Название: Deep Learning in Visual Computing and Signal Processing
Автор: Krishna Kant Singh, Vibhav Kumar Sachan
Издательство: Apple Academic Press/CRC Press
Год: 2023
Страниц: 289
Язык: английский
Формат: pdf (true)
Размер: 15.9 MB

An enlightening amalgamation of Deep Learning concepts with visual computing and signal processing applications, this new volume covers the fundamentals and advanced topics in designing and deploying techniques using deep architectures and their application in visual computing and signal processing. The volume first lays out the fundamentals of Deep Learning as well as Deep Learning architectures and frameworks. It goes on to discuss Deep Learning in neural networks and Deep Learning for object recognition and detection models. It looks at the various specific applications of Deep Learning in visual and signal processing, such as in biorobotics, for automated brain tumor segmentation in MRI images, in neural networks for use in seizure classification, for digital forensic investigation based on Deep Learning, and more.

Название: Learn Concurrent Programming with Go (MEAP v5)
Автор: James Cutajar
Издательство: Manning Publications
Год: 2023
Страниц: 306
Язык: английский
Формат: pdf, epub
Размер: 24.9 MB

Write concurrent code in Go that improves application performance, scales up to handle bigger loads, and takes full advantage of modern multi-processor hardware. Learn Concurrent Programming with Go teaches you how to use concurrency to improve the performance of your Go applications. Each chapter poses a new problem that can be solved using concurrency and introduces the right approach to implement it in Go. In this easy-to-read tutorial, you’ll delve into concurrency patterns, learn to dodge the most common pitfalls, and take advantage of Go’s innovative approach to concurrency. Practical exercises at the end of each chapter help you practice your new skills to lock in what you’ve learned. Concurrent programming is essential for getting the most out of modern multi-processor computer hardware. It allows multiple tasks to execute and interact simultaneously, speeding up performance and reducing user wait time.

Название: Industrial Statistics: A Computer-Based Approach With Python
Автор: Ron S. Kenett, Shelemyahu Zacks, Peter Gedeck
Издательство: Springer
Год: 2023
Страниц: 486
Язык: английский
Формат: pdf (true), epub
Размер: 38.3 MB

This innovative textbook presents material for a course on industrial statistics that incorporates Python as a pedagogical and practical resource. Drawing on many years of teaching and conducting research in various applied and industrial settings, the authors have carefully tailored the text to provide an ideal balance of theory and practical applications. Numerous examples and case studies are incorporated throughout, and comprehensive Python applications are illustrated in detail. A custom Python package is available for download, allowing students to reproduce these examples and explore others. The first chapters of the text focus on the basic tools and principles of process control, methods of statistical process control (SPC), and multivariate SPC. Next, the authors explore the design and analysis of experiments, quality control and the Quality by Design approach, computer experiments, and cybermanufacturing and digital twins. The text then goes on to cover reliability analysis, accelerated life testing, and Bayesian reliability estimation and prediction. A final chapter considers sampling techniques and measures of inspection effectiveness. Every chapter includes exercises, data sets, and Python applications.

Название: Applied Intelligence in Human-Computer Interaction
Автор: Sulabh Bansal, Prakash Chandra Sharma, Abhishek Sharma
Издательство: CRC Press
Год: 2023
Страниц: 317
Язык: английский
Формат: pdf (true)
Размер: 64.9 MB

The text comprehensively discusses the fundamental aspects of human–computer interaction, and applications of Artificial Intelligence in diverse areas including disaster management, smart infrastructures, and healthcare. It employs a solution-based approach in which recent methods and algorithms are used for identifying solutions to real-life problems. The book elaborates on the application of artificial intelligence in user interface development, computing power analysis, and data management. It explores the use of human–computer interaction for intelligence signal and image processing techniques. The text covers important concepts such as modern communication systems, smart industrial automation, interactive multimedia systems, and Machine Learning interface for the Internet of Things.

Название: Acing the USACO Bronze Competition (MEAP v1)
Автор: Zachi Baharav
Издательство: Manning Publications
Год: 2023
Страниц: 223
Язык: английский
Формат: pdf, epub
Размер: 13.4 MB

Everything you need to succeed in the USA Computing Olympiad (USACO) Bronze! The USA Computing Olympiad Bronze Division (USACO) is a fantastic way to distinguish yourself as a top candidate for colleges, talent hunters, and employers. Every year, this competition poses tough programming challenges to find the best of the best among thousands of high school students and other early career coders. Acing the USACO Bronze Competition shows you how to succeed in the fast and furious world of competitive programming. It demystifies the USACO and programming competitions, and teaches you to find the joy in competition that will take you all the way to the top. The book will help you build exactly the skills you need to pass the Bronze qualification. Each problem is sketched out with entertaining and informative illustrations so they’ll stick with you in the competitive USACO environment. You’ll learn multiple ways to solve any problem the competition throws at you.

Название: Fight Fraud with Machine Learning (MEAP v1)
Автор: Ashish Ranjan Jha
Издательство: Manning Publications
Год: 2023
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Financial and corporate fraud happen every day, and the fraudsters inevitably leave a digital trail. Machine learning techniques, including the latest generation of LLM-driven AI tools, help identify the telltale signals that a crime is taking place. Fight Fraud with Machine Learning teaches you how to apply cutting edge ML to identify fraud, find the fraudsters, and possibly even catch them in the act. Machine Learning, Artificial Intelligence (AI), has gained immense popularity in the last decade, especially with recent technological advancements such as ChatGPT. AI will eventually be a part of most if not all softwares. This book is an attempt to help integrate Machine Learning into the world of fraud detection. In this cutting-edge book you’ll develop scalable and tunable models that can spot and stop fraudulent activity in online transactions, data stores, even in digitized paper records. You’ll use Python to battle common scams like phishing and credit card fraud, along with new and emerging threats like voice spoofing and deepfakes.

Название: Reliability Analysis Using MINITAB and Python
Автор: Jaejin Hwang
Издательство: Wiley
Год: 2023
Страниц: 240
Язык: английский
Формат: epub
Размер: 80.4 MB

Complete overview of the theory and fundamentals of Reliability Analysis applied with Minitab and Python tools. Reliability Analysis Using Minitab and Python expertly applies Minitab and Python programs to the field of reliability engineering, presenting basic concepts and explaining step-by-step how to implement statistical distributions and reliability analysis methods using the two programming languages. The textbook enables readers to effectively use software to efficiently process massive amounts of data while also reducing human error. Examples and case studies as well as exercises and questions are included throughout to enable a smooth learning experience. Excel files containing the sample data and Minitab and Python example files are also provided.