Название: Medical-Grade Software Development: How to Build Medical-Device Products That Meet the Requirements of IEC 62304 and ISO 13485
Автор: Ilkka Juuso, Ilpo Poyhonen
Издательство: Routledge
Год: 2024
Страниц: 387
Язык: английский
Формат: pdf (true)
Размер: 13.5 MB

This book is a practical guide to meeting IEC 62304 software-development requirements within the context of an ISO 13485 quality management system (QMS). The book proves this can be done with a minimum amount of friction, overlap, and back-and-forth between development stages. It essentially shows you how you should shape your medical-software development processes to fit in with the QMS processes in the smartest and leanest way possible. By following the advice in this book, you can reuse processes from your QMS, ensure your product-realization processes meet the requirements for medical-software development, and marry all the requirements together using tried and tested solutions into one efficient system. The expertise of the authors here goes beyond just the experiences of one real-world project as they tap into over 30 years of experience and countless software and software-assessment projects to distill their advice.

Название: Number Systems for Deep Neural Network Architectures
Автор: Ghada Alsuhli, Vasilis Sakellariou, Hani Saleh, Mahmoud Al-Qutayri
Издательство: Springer
Год: 2024
Страниц: 100
Язык: английский
Формат: pdf (true), epub
Размер: 11.2 MB

This book provides readers a comprehensive introduction to alternative number systems for more efficient representations of Deep Neural Network (DNN) data. Various number systems (conventional/unconventional) exploited for DNNs are discussed, including Floating Point (FP), Fixed Point (FXP), Logarithmic Number System (LNS), Residue Number System (RNS), Block Floating Point Number System (BFP), Dynamic Fixed-Point Number System (DFXP) and Posit Number System (PNS). The authors explore the impact of these number systems on the performance and hardware design of DNNs, highlighting the challenges associated with each number system and various solutions that are proposed for addressing them. During the past decade, DNNs have shown outstanding performance in a myriad of Artificial Intelligence (AI) applications. Since their success in both speech and image recognition, great attention has been drawn to DNNs from academia and industry, which subsequently led to a wide range of products that utilize them.

Название: The Python Handbook
Автор: Flavio Copes
Издательство: Independently published
Год: 2023
Язык: английский
Формат: pdf, epub
Размер: 14.0 MB

Python is literally eating the programming world. It is growing in popularity and usage in ways that are pretty much unprecedented in the history of computers. There is a huge variety of scenarios that Python excels in. Shell scripting, task automation, Web development are just some basic examples. Python is the language of choice for data analysis and machine learning, but it can also adapt to create games and work with embedded devices. Most importantly, it's the language of choice for introductory computer science courses in universities all around the world. Many students learn Python as their first programming language. Many are learning it right now, many will learn it in the future. And for many of them, Python will be the only programming language they need. Thanks to this unique position, Python is likely going to grow even more in the future. The language is simple, expressive, and it's quite straightforward. The ecosystem is huge. There seems to be a library for everything you can imagine. Python is a high-level programming language suitable for beginners thanks to its intuitive syntax, its huge community and vibrant ecosystem.

Название: Dynamic Graph Learning for Dimension Reduction and Data Clustering
Автор: Lei Zhu, Jingjing Li, Zheng Zhang
Издательство: Springer
Серия: Synthesis Lectures on Computer Science
Год: 2024
Страниц: 162
Язык: английский
Формат: pdf (true), epub
Размер: 18.8 MB

This book illustrates how to achieve effective dimension reduction and data clustering. The authors explain how to accomplish this by utilizing the advanced dynamic graph learning technique in the era of big data. The book begins by providing background on dynamic graph learning. The authors discuss why it has attracted considerable research attention in recent years and has become well recognized as an advanced technique. After covering the key topics related to dynamic graph learning, the book discusses the recent advancements in the area. The authors then explain how these techniques can be practically applied for several purposes, including feature selection, feature projection, and data clustering. This groundbreaking book represents the first comprehensive exploration of dynamic graph learning. Drawing inspiration from the ability of graphs to model correlations between data points, researchers have introduced graph theory into Machine Learning, particularly in the realm of unsupervised learning tasks.

Название: Data Science for Sensory and Consumer Scientists
Автор: Thierry Worch, Julien Delarue, Vanessa Rios De Souza, John Ennis
Издательство: Springer
Серия: Data Science Series
Год: 2024
Страниц: 349
Язык: английский
Формат: pdf (true), epub
Размер: 25.9 MB

Data Science for Sensory and Consumer Scientists is a comprehensive textbook that provides a practical guide to using Data Science in the field of sensory and consumer science through real-world applications. It covers key topics including data manipulation, preparation, visualization, and analysis, as well as automated reporting, Machine Learning, text analysis, and dashboard creation. Written by leading experts in the field, this book is an essential resource for anyone looking to master the tools and techniques of data science and apply them to the study of consumer behavior and sensory-led product development. Whether you are a seasoned professional or a student just starting out, this book is the ideal guide to using data science to drive insights and inform decision-making in the sensory and consumer sciences. R is a scripting language (not a compiled language) that runs the lines of code or commands one by one, in order. It is one of the most popular languages used by statisticians, data analysts, researchers, marketers, etc. to retrieve, clean, analyze, visualize, and represent data. By the time this book is being written, it is among the most popular programming languages in the world, including the sensory and consumer science field.

Название: iOS Development at Scale: App Architecture and Design Patterns for Mobile Engineers
Автор: Eric Vennaro
Издательство: Apress
Год: 2023
Страниц: 654
Язык: английский
Формат: pdf, epub
Размер: 15.5 MB

Scale mobile applications to handle an enormous user base and development team. This book outlines the scaling challenges that mobile engineers face and some standard techniques and design patterns to deal with those issues. This book will teach you how to build mobile applications that will scale for millions of users while growing your career to the staff and principal levels. The book is structured to mirror an engineer’s career path and maps the career stages to the tools needed for success at each one. We start with the basics of engineering covered with a Swift language focus; however, most fundamentals are applicable beyond the Swift programming language. This is by design because, over time, frameworks and languages will come and go (SwiftUI, obj-c), but the fundamental concepts underlying them will not. Understanding these basic concepts allows you to apply them to changing environments and efficiently learn new tools – an even more critical skill at scale because many large companies write custom implementations. Understanding the fundamentals marks the first stage of a software engineer’s career and the first part of this book.

Название: Machine Learning with Python Cookbook: Practical Solutions from Preprocessing to Deep Learning, 2nd Edition (Final Release)
Автор: Kyle Gallatin, Chris Albon
Издательство: O’Reilly Media, Inc.
Год: 2023
Страниц: 416
Язык: английский
Формат: pdf (true), epub (true), mobi
Размер: 10.2 MB, 10.2 MB

This practical guide provides more than 200 self-contained recipes to help you solve Machine Learning challenges you may encounter in your work. If you're comfortable with Python and its libraries, including Pandas and Scikit-learn, you'll be able to address specific problems all the way from loading data to training models and leveraging neural networks. Each recipe in this updated edition includes code that you can copy, paste, and run with a toy dataset to ensure it works. From there, you can adapt these recipes according to your use case or application. Recipes include a discussion that explains the solution and provides meaningful context. Go beyond theory and concepts by learning the nuts and bolts you need to construct working machine learning applications. NumPy is a foundational tool of the Python Machine Learning stack. NumPy allows for efficient operations on the data structures often used in machine learning: vectors, matrices, and tensors. While NumPy isn’t the focus of this book, it will show up frequently in the following chapters. The Chapter 1 covers the most common NumPy operations we’re likely to run into while working on Machine Learning workflows.

Название: Building the Modern Workplace with SharePoint Online: Solutions with SPFx, JSON Formatting, Power Automate, Power Apps, Teams, and PVA, 2nd Edition
Автор: Hari Narayn
Издательство: Apress
Год: 2023
Страниц: 401
Язык: английский
Формат: pdf
Размер: 13.0 MB

This book is a comprehensive guide that will empower you to create robust digital workplace solutions from scratch using SharePoint Online and Microsoft’s Power Platform. This revised edition incorporates the latest features of SharePoint Online, including Advanced JSON formatting, Power Automate updates, and SPFx updates. Author Hari Narayn kicks things off with an overview of the fundamentals of SharePoint Online, followed by tutorials covering how to analyze business requirements, design solutions, and leverage SharePoint Online's extensive functionalities. The book covers essential topics such as creating basic artifacts, building SharePoint forms using out-of-the-box forms, and mastering JSON formatting through practical examples. You’ll explore the basics of Power Apps and how to integrate it with SharePoint Online before diving into advanced Power Automate and discovering how to automate processes and streamline workflows. Additionally, you’ll gain insight into SharePoint Framework (SPFx) customization, empowering you to tailor SharePoint Online sites to suit specific needs. Configuration and customization of PnP modern search are also detailed, so that you can optimize search capabilities within SharePoint Online. You will also learn how to integrate Microsoft Teams, MS Graph, and Power Virtual Agents with SharePoint Online to enhance collaboration.

Название: Deep Learning for Data Architects: Unleash the power of Python's deep learning algorithms
Автор: Shekhar Khandelwal
Издательство: BPB Publications
Год: 2024
Страниц: 544
Язык: английский
Формат: pdf, epub
Размер: 29.7 MB

A hands-on guide to building and deploying Deep Learning models with Python. “Deep Learning for Data Architects” is a comprehensive guide that bridges the gap between data architecture and Deep Learning. It provides a solid foundation in Python for data science and serves as a launchpad into the world of AI and Deep Learning. The book begins by addressing the challenges of transforming raw data into actionable insights. It provides a practical understanding of data handling and covers the construction of neural network-based predictive models. The book then explores specialized networks such as convolutional neural networks (CNNs), recurrent neural networks (RNNs), and generative adversarial networks (GANs). The book delves into the theory and practical aspects of these networks and offers Python code implementations for each. The final chapter of the book introduces Transformers, a revolutionary model that has had a significant impact on natural language processing (NLP). This chapter provides you with a thorough understanding of how Transformers work and includes Python code implementations. This book is for anyone who is interested in a career in emerging technologies, such as Artificial Intelligence (AI), data analytics, Machine Learning, Deep Learning, and Data Science.

Название: Build Serverless Apps on Kubernetes with Knative: Build, deploy, and manage serverless applications on Kubernetes
Автор: Amit Deshpande, Anuj Gupta, Ashish Saxena
Издательство: BPB Publications
Год: 2024
Страниц: 364
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Learn how to deploy and maintain high-performing, resilient serverless applications using Knative. As cloud computing has become increasingly important in modern development workflows, developers have begun to look for ways to harness its full potential. Serverless architecture is one such approach, and Knative is a powerful and versatile solution for deploying and managing serverless containers. This book is a comprehensive guide to Knative serverless containers. It begins by introducing the core concepts of serverless architecture and its benefits. Then, it provides an in-depth exploration of Knative, its components, and how it fits within the broader Kubernetes ecosystem. The book demonstrates how to build, deploy, and manage serverless containers using Knative through practical examples and case studies. It covers topics such as setting up a development environment, creating custom serverless applications, integrating with other cloud-native tools and services, and best practices for monitoring, logging, and troubleshooting. Toward the end, the book delves into advanced topics such as scaling, performance optimization, and security. By the book's end, you can run serverless applications on Kubernetes using Knative.