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Название: Project Reliability Engineering: Pro Skills for Next Level Maker Projects Автор: Eyal Shahar Издательство: Apress Год: 2019 Страниц: 315 Язык: английский Формат: pdf (true), epub Размер: 10.1 MB
Turn your projects from a weekend hack to a long-living creation! Loosely drawing from the field known in large software companies as Site Reliability Engineering (SRE), this book distills from these disciplines and addresses issues that matter to makers: keeping projects up and running, and providing means to control, monitor, and troubleshoot them. Most examples use the Raspberry Pi, but the techniques discussed apply to other platforms as well. |
Разместил: Ingvar16 28-09-2019, 19:28 | Комментарии: 0 | Подробнее
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Название: Advanced Applied Deep Learning: Convolutional Neural Networks and Object Detection Автор: Umberto Michelucci Издательство: Apress Год: 2019 Страниц: 294 Язык: английский Формат: pdf (true), epub Размер: 14.1 MB
Develop and optimize deep learning models with advanced architectures. This book teaches you the intricate details and subtleties of the algorithms that are at the core of convolutional neural networks. In Advanced Applied Deep Learning, you will study advanced topics on CNN and object detection using Keras and TensorFlow. |
Разместил: Ingvar16 28-09-2019, 19:23 | Комментарии: 0 | Подробнее
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Название: Machine Learning and Artificial Intelligence Автор: Ameet V Joshi Издательство: Springer Год: 2019 (2020 Edition) Страниц: 262 Язык: английский Формат: pdf (true) Размер: 10.08 MB
This book provides comprehensive coverage of combined Artificial Intelligence (AI) and Machine Learning (ML) theory and applications. Rather than looking at the field from only a theoretical or only a practical perspective, this book unifies both perspectives to give holistic understanding. The first part introduces the concepts of AI and ML and their origin and current state. The second and third parts delve into conceptual and theoretic aspects of static and dynamic ML techniques. The forth part describes the practical applications where presented techniques can be applied. The fifth part introduces the user to some of the implementation strategies for solving real life ML problems. |
Разместил: Ingvar16 28-09-2019, 14:17 | Комментарии: 0 | Подробнее
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Название: Understanding Artificial Intelligence: Fundamentals, Use Cases and Methods for a Corporate AI Journey Автор: Ralf T. Kreutzer, Marie Sirrenberg Издательство: Springer Год: 2019 (2020 Edition) Страниц: 321 Язык: английский Формат: pdf (true) Размер: 10.07 MB
Artificial Intelligence (AI) will change the lives of people and businesses more fundamentally than many people can even imagine today. This book illustrates the importance of AI in an era of digitalization. It introduces the foundations of AI and explains its benefits and challenges for companies and entire industries. In this regard, AI is approached not just as yet another technology, but as a fundamental innovation, which will spread into all areas of the economy and life, and will disrupt business processes and business models in the years to come. In turn, the book assesses the potential that AI holds, and clarifies the framework that is necessary for pursuing a responsible approach to AI. |
Разместил: Ingvar16 28-09-2019, 13:51 | Комментарии: 0 | Подробнее
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Название: Practical Machine Learning with Python: A Problem-Solver's Guide to Building Real-World Intelligent Systems Автор: Dipanjan Sarkar, Raghav Bali, Tushar Sharma Издательство: Apress ISBN: 1484232062 Год: 2018 Страниц: 545 Язык: английский Формат: True PDF Размер: 15.9 MB
Master the essential skills needed to recognize and solve complex problems with machine learning and deep learning. Using real-world examples that leverage the popular Python machine learning ecosystem, this book is your perfect companion for learning the art and science of machine learning to become a successful practitioner. The concepts, techniques, tools, frameworks, and methodologies used in this book will teach you how to think, design, build, and execute machine learning systems and projects successfully. Practical Machine Learning with Python follows a structured and comprehensive three-tiered approach packed with hands-on examples and code. |
Разместил: bomboane 28-09-2019, 10:52 | Комментарии: 0 | Подробнее
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 Название: Теоретические основы параллельного программирования Автор(ы): Андрейченко Д.К. и др. Издательство: Саратов: СГУ Год: 2015 Страниц: 282 Формат: PDF Размер: 11 Мб Язык: русский
Учебное пособие подготовлено на основе лекций по курсам «Теоретические основы параллельного программирования» и «Параллельные вычисления», читаемых в Саратовском государственном университете бакалаврам направлений «Математическое обеспечение и администрирование информационных систем» и «Фундаментальная информатика и информационные технологии». |
Разместил: MIHAIL62 28-09-2019, 02:51 | Комментарии: 0 | Подробнее
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Название: The Art of Agile Product Ownership: A Guide for Product Managers, Business Analysts, and Entrepreneurs Автор: Allan Kelly Издательство: Apress Год: 2019 Страниц: 168 Язык: английский Формат: pdf (true), azw3, epub Размер: 10.1 MB
Every product owner faces a complex and unique set of challenges within their team. This provides each individual the opportunity to fill the role with different ambitions, skills, and insights. Your product ownership journey can take a variety of paths, and The Art of Agile Product Ownership is here to be your guide. |
Разместил: Ingvar16 27-09-2019, 21:13 | Комментарии: 0 | Подробнее
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Название: Practical Azure Functions: A Guide to Web, Mobile, and IoT Applications Автор: Agus Kurniawan, Wely Lau Издательство: Apress Год: 2019 Формат: true pdf/epub Страниц: 246 Размер: 16.8 Mb Язык: English
Start developing Azure Functions and building simple solutions for serverless computing without worrying about infrastructure. With the increased need for deploying serverless computing, Azure Functions integrates with other Azure resources. This book is a quick reference and consists of a practical and problem-driven approach with the latest technology. Guided by step-by-step explanations and sample projects, you'll set up, build, and deploy Azure Functions to get the most out of this compute-on-demand service. After a foundational introduction to Azure Functions you'll prepare a development environment to serve and process an IoT Telemetry system, create Microservices, and monitor Azure Functions services to get application insights. |
Разместил: bomboane 27-09-2019, 19:46 | Комментарии: 0 | Подробнее
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Название: Python for the Life Sciences: A Gentle Introduction to Python for Life Scientists Автор: Alexander Lancaster, Gordon Webster Издательство: Apress Год: 2019 Формат: true pdf/epub Страниц: 376 Размер: 17.9 Mb Язык: English
Treat yourself to a lively, intuitive, and easy-to-follow introduction to computer programming in Python. The book was written specifically for biologists with little or no prior experience of writing code - with the goal of giving them not only a foundation in Python programming, but also the confidence and inspiration to start using Python in their own research.
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Разместил: bomboane 27-09-2019, 19:37 | Комментарии: 0 | Подробнее
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Название: Building Machine Learning and Deep Learning Models on Google Cloud Platform: A Comprehensive Guide for Beginners Автор: Ekaba Bisong Издательство: Apress Год: 2019 Формат: true pdf/epub Страниц: 709 Размер: 71.2 Mb Язык: English
Take a systematic approach to understanding the fundamentals of machine learning and deep learning from the ground up and how they are applied in practice. You will use this comprehensive guide for building and deploying learning models to address complex use cases while leveraging the computational resources of Google Cloud Platform. Author Ekaba Bisong shows you how machine learning tools and techniques are used to predict or classify events based on a set of interactions between variables known as features or attributes in a particular dataset. He teaches you how deep learning extends the machine learning algorithm of neural networks to learn complex tasks that are difficult for computers to perform, such as recognizing faces and understanding languages. And you will know how to leverage cloud computing to accelerate data science and machine learning deployments. |
Разместил: bomboane 27-09-2019, 19:30 | Комментарии: 0 | Подробнее
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