Название: Машинное обучение доступным языком
Автор: Елена Капаца
Издательство: Автор
Год: 2023
Язык: русский
Формат: pdf, fb2. epub
Размер: 11.2 MB

Краткий гайд для новичков по машинному и глубокому обучению с разбором кода. Здесь вы найдете необходимый минимум по предмету, истолкованный языком, понятным школьнику. Некоторые разделы написаны с помощью ChatGPT. По прочтении вы избавитесь от страха перед технологией и освоите базовый инструментарий подготовки данных, их загрузке в модель и ее донастройки. Подходит студентам технических специальностей. Приступая к изучению машинного обучения, студенты легко и непринужденно добиваются… запутанности. Пара-тройка непонятных терминов или неясностей при расчете – и все: мозг теряет нить и начинает воспринимать “по диагонали”. Продираться через непонятное довольно трудоёмко. Не каждый день у нас есть ресурс догугливать непонятное. Не каждый запрос в Google даст лаконичный понятный ответ. Моя задача – описать детали этой мозаики языком, понятным старшекласснику. Я намеренно буду избегать формул, потому что знаю: каждая из них сокращает число читателей. Однако в книге будет код, и он будет расширенно комментироваться. Минимальное требование к читателю – знание основ Python. Книга фокусируется на машинном обучении, и потому останавливаться на терминах вроде “переменной” и “списка” я не буду.

Название: Quantum Computing: Circuits, Systems, Automation and Applications
Автор: Himanshu Thapliyal, Travis Humble
Издательство: Springer
Год: 2024
Страниц: 183
Язык: английский
Формат: pdf (true), epub
Размер: 19.6 MB

This book provides readers with the current state-of-the-art research and technology on quantum computing. The authors provide design paradigms of quantum computing. Topics covered include multi-programming mechanisms on near-term quantum computing, Lagrange interpolation approach for the general parameter-shift rule, architecture-aware decomposition of quantum circuits, software for massively parallel quantum computing, Machine Learning in quantum annealing processors, quantum annealing for real-world machine learning applications, queuing theory models for (Fault-Tolerant) quantum circuits, machine learning for quantum circuit reliability assessment, and side-channel leakage in Suzuki stack circuits. Quantum computing is an elegant fusion between computer science and principles of quantum physics to facilitate calculations. It promises an excellent computational capacity that is intractable for classical computers to solve challenging problems, including materials science, information science, computer science, mathematical science, and others. The QB SDK is designed for ease of integration into a range of performance-critical environments: HPC, cloud, GPU workstations and even embedded/edge systems. The SDK’s high-performance core and bundled simulators are implemented in C++. It provides hybrid and pure-quantum programming interfaces in both C++ and Python, with an extensive language binding module for Python included.

Название: Ian Talks Python A-Z
Автор: Ian Eress
Издательство: Independently published
Год: 2023
Страниц: 397
Язык: английский
Формат: pdf, azw3, epub (true), mobi
Размер: 10.2 MB

Unlock the mysteries of Python programming with this guide to the key concepts and definitions. From famous programmers and libraries to data science and web development, this book provides a clear and accessible reference to the field of Python programming. Written for beginners, it is the perfect resource for anyone looking to deepen their understanding of this rapidly evolving field. With clear explanations, this book is your go-to reference for all things Python.

Название: Soft Computing Techniques in Connected Healthcare Systems
Автор: Moolchand Sharma, Suman Deswal, Umesh Gupta
Издательство: CRC Press
Год: 2024
Страниц: 313
Язык: английский
Формат: pdf (true)
Размер: 24.9 MB

This book provides an examination of applications of soft computing techniques related to healthcare systems and can be used as a reference guide for assessing the roles of various techniques. Soft Computing Techniques in Connected Healthcare Systems presents soft computing techniques and applications used in healthcare systems, along with the latest advancements. The authors examine how connected healthcare is the essence of combining a practical operative procedure of interconnectedness of electronic health records, mHealth, clinical informatics, electronic data exchange, practice management solutions, and pharmacy management. The book focuses on different soft computing techniques, such as artificial neural networks (ANNs), fuzzy logic, genetic algorithms (GAs), Machine Learning (ML), and Natural Language Processing (NLP), which will enhance services in connected health systems, such as remote diagnosis and monitoring, medication monitoring devices, identifying and treating the underlying causes of disorders and diseases, improved access to specialists, and lower healthcare costs. The chapters also examine descriptive, predictive, and social network techniques and discuss analytical tools and the important role they play in enhancing the services to connected healthcare systems. Finally, the authors address real-time challenges with real-world case studies to enhance the comprehension of topics. This book is intended for under graduate and graduate students, researchers, and practicing professionals in the field of connected healthcare. It provides an overview for beginners while also addressing professionals in the industry on the importance of soft computing approaches in connected healthcare systems.

Название: Transformer, BERT, and GPT : Including ChatGPT and Prompt Engineering
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 379
Язык: английский
Формат: pdf (true)
Размер: 25.3 MB

This book provides a comprehensive group of topics covering the details of the Transformer architecture, BERT models, and the GPT series, including GPT-3 and GPT-4. Spanning across ten chapters, it begins with foundational concepts such as the attention mechanism, then tokenization techniques, explores the nuances of Transformer and BERT architectures, and culminates in advanced topics related to the latest in the GPT series, including ChatGPT. Key chapters provide insights into the evolution and significance of attention in deep learning, the intricacies of the Transformer architecture, a two-part exploration of the BERT family, and hands-on guidance on working with GPT-3. The concluding chapters present an overview of ChatGPT, GPT-4, and visualization using generative AI. In addition to the primary topics, the book also covers influential AI organizations such as DeepMind, OpenAI, Cohere, Hugging Face, and more. Readers will gain a comprehensive understanding of the current landscape of NLP models, their underlying architectures, and practical applications. Features companion files with numerous code samples and figures from the book. Although this book is introductory in nature, some knowledge of Python 3.x with certainly be helpful for the code samples. Knowledge of other programming languages (such as Java) can also be helpful because of the exposure to programming concepts and constructs. This book is intended primarily for people who have a basic knowledge of Machine Learning or software developers who are interested in working with LLMs.

Название: Data Literacy With Python
Автор: Oswald Campesato
Издательство: Mercury Learning and Information
Год: 2024
Страниц: 271
Язык: английский
Формат: pdf (true)
Размер: 14.6 MB

The purpose of this book is to usher readers into the world of data, ensuring a comprehensive understanding of its nuances, intricacies, and complexities. With Python 3 as the primary medium, the book underscores the pivotal role of data in modernindustries, and how its adept management can lead to insightful decision-making. The book provides a quick introduction to foundational data-related tasks, priming the readers for more advanced concepts of model training introduced later on. Through detailed, step-by-step Python code examples, the reader will master training models, beginning with the kNN algorithm, and then smoothly transitioning to other classifiers, by tweaking mere lines of code. Tools like Sweetviz, Skimpy, Matplotlib, and Seaborn are introduced, offering readers a hands-on experience in rendering charts and graphs. Companion files with source code and data sets are available by writing to the publisher.

Название: Modern C Programming: Including Standards C99, C11, C17, C23
Автор: Orhan Gazi
Издательство: Springer
Год: 2023
ISBN:‎ 978-3-031-45361-8
Страниц:‎ 395
Формат: PDF
Размер: 22 Mб
Язык: English

This book provides comprehensive detail about modern C programming, including the standards C99, C11, C17, C23, reflecting recent updates. The book features a number of targeted examples, atomic data types, and threads. After covering the standards of C, the author explains data types, operators, loops, conditional statements, functions, pointers, and more. The book is intended primarily for electrical and hardware engineers looking to use or update their knowledge of modern C programming.

Название: Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions
Автор: Prashant Pranav, Archana Patel, Sarika Jain
Издательство: CRC Press
Год: 2024
Страниц: 225
Язык: английский
Формат: pdf (true)
Размер: 17.2 MB

This book brings together a blend of different areas of Machine Learning and recent advances in the area. From the use of ML in healthcare to security, this book encompasses several areas related to ML while keeping a check on traditional ML algorithms. Machine Learning in Healthcare and Security: Advances, Obstacles, and Solutions describes the predictive analysis and forecasting techniques in different emerging and classical areas using the approaches of ML and AI. It discusses the application of ML and AI in medical diagnostic systems and deals with the security prevention aspects of ML and how it can be used to tackle various emerging security issues. This book also focuses on NLP and understanding the techniques, obstacles, and possible solutions. This is a valuable reference resource for researchers and postgraduate students in healthcare systems engineering, Computer Science, cyber-security, information technology, and applied mathematics.

Автор: Подбельский В.В.
Название: Язык Си++: Учебное пособие
Издательство: М.: Финансы и статистика
Год: 2003
Язык: русский
Формат: pdf
Размер: 14 мб
Страниц: 560 с.: ил.

Подробно рассмотрены синтаксис, семантика и техника программирования объектно-ориентированного языка Си++ . Приведено большое количество программ, иллюстрирующих возможности и особенности языка Си++. В отличие от работ, в которых язык Си++ вводится как расширение своего предшественника языка Си, в данной книге он рассматривается как самостоятельный язык программирования.

Название: Learn Microservices with Spring Boot 3: A Practical Approach Using Event-Driven Architecture, 3rd Edition
Автор: Moisés Macero García, Tarun Telang
Издательство: Apress
Год: 2023
Страниц: 475
Язык: английский
Формат: pdf, epub
Размер: 12.4 MB

This book will show you how to build Java-based microservices architecture using the popular Spring Boot framework by evolving a small monolith application to an event-driven architecture composed of several services. This third edition has been updated to cover Spring Boot 3, including its compatibility with Java 17 and Jakarta EE 10, and employs an incremental approach to teach the structure of microservices, test-driven development, and common patterns in distributed systems such as service discovery, load balancing, routing, centralized logs, per-environment configuration, and containerization. Authors Moisés Macero and Tarun Telang get the ball rolling by introducing you to the fundamentals of microservices and Spring Boot before walking you through the development of a basic Spring Boot application. You’ll then see how to build a front end using React, and learn how to use the data layer to read and write data from and to other systems via Spring Boot and its access to Spring Data and its available APIs. Putting together what you've learned thus far, you’ll begin to transform an application from a monolith to a microservice. Those with at least some prior experience with Java programming. Some prior exposure to Spring Boot recommended but not required.