Название: Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine
Автор: Mehul S Raval, Mohendra Roy, Tolga Kaya
Издательство: CRC Press
Год: 2024
Страниц: 329
Язык: английский
Формат: pdf (true)
Размер: 10.6 MB

This book combines technology and the medical domain. It covers advances in Computer Vision (CV) and Machine Learning (ML) that facilitate automation in diagnostics and therapeutic and preventive health care. The special focus on eXplainable Artificial Intelligence (XAI) uncovers the black box of ML and bridges the semantic gap between the technologists and the medical fraternity. Explainable AI in Healthcare: Unboxing Machine Learning for Biomedicine intends to be a premier reference for practitioners, researchers, and students at basic, intermediary levels and expert levels in Computer Science, electronics and communications, information technology, instrumentation and control, and electrical engineering.

Название: Kubernetes Everywhere: Managing Professional Kubernetes Clusters and Applications (Early Release)
Автор: Christopher Negus
Издательство: Pearson Education/Addison-Wesley
Год: 2023
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

As the mass migration to containerize software applications continues, Kubernetes has overwhelmingly become the platform to run those applications. Cloud providers like AWS, Google, and Microsoft bundle complex Kubernetes services to make it easier to deploy and scale applications. On-premises data centers and devices let companies manage the costs and security of their Kubernetes clusters themselves. Kubernetes can also be found outside of data centers for edge computing, IOT devices, and 5G networks. Kubernetes is literally everywhere. The demand for Kubernetes expertise at a premium as the leading platform for large clouds and small on-premises computing. Kubernetes Everywhere steps you through creating your own on-premises, professional-grade Kubernetes cluster. Along the way, you gain the knowledge to master features such as deployment methods, network setup, storage management, node autoscaling, authentication, and pod and cluster security. You learn ways to obtain Kubernetes certifications, find online resources for trying Kubernetes and participate in the Kubernetes project community.

Название: Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis
Автор: Sangita Roy, Rajat Subhra Chakraborty, Jimson Mathew
Издательство: CRC Press
Год: 2023
Страниц: 137
Язык: английский
Формат: pdf (true)
Размер: 10.7 MB

Artificial Intelligence and Deep Learning for Computer Network: Management and Analysis aims to systematically collect quality research spanning AI, ML, and Deep Learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books. In recent years, particularly with the advent of Deep Learning (DL), new avenues have opened up to handle today’s most complex and very dynamic computer networks, and the large amount of data (often real time) that they generate. Artificial Intelligence (AI) and Machine Learning (ML) techniques have already shown their effectiveness in different networks and service management problems, including, but not limited to, cloud, traffic management, cybersecurity, etc. There exist numerous research articles in this domain, but a comprehensive and self-sufficient book capturing the current state-of-the-art has been lacking. The book aims to systematically collect quality research spanning AI, ML, and Deep Learning (DL) applications to diverse sub-topics of computer networks, communications, and security, under a single cover. It also aspires to provide more insights on the applicability of the theoretical similitudes, otherwise a rarity in many such books.

Название: Safe Autonomy with Control Barrier Functions: Theory and Applications
Автор: Wei Xiao, Christos G. Cassandras, Calin Belta
Издательство: Springer
Серия: Synthesis Lectures on Computer Science
Год: 2023
Страниц: 228
Язык: английский
Формат: pdf (true), epub
Размер: 33.5 MB

This book presents the concept of Control Barrier Function (CBF), which captures the evolution of safety requirements during the execution of a system and can be used to enforce safety. Safety is formalized using an emerging state-of-the-art approach based on CBFs, and many illustrative examples from autonomous driving, traffic control, and robot control are provided. Safety is central to autonomous systems since they are intended to operate with minimal or no human supervision, and a single failure could result in catastrophic results. The authors discuss how safety can be guaranteed via both theoretical and application perspectives. This presented method is computationally efficient and can be easily implemented in real-time systems that require high-frequency reactive control. In addition, the CBF approach can easily deal with nonlinear models and complex constraints used in a wide spectrum of applications, including autonomous driving, robotics, and traffic control. With the proliferation of autonomous systems, such as self-driving cars, mobile robots, and unmanned air vehicles, safety plays a crucial role in ensuring their widespread adoption. This book considers the integration of safety guarantees into the operation of such systems including typical safety requirements that involve collision avoidance, technological system limitations, and bounds on real-time executions. Adaptive approaches for safety are also proposed for time-varying execution bounds and noisy dynamics. Machine Learning methodologies are utilized to take advantage of actual data that are generally available from the operation of an autonomous system.

Название: Ansible for Kubernetes by Example: Automate Your Kubernetes Cluster with Ansible
Автор: Luca Berton
Издательство: Apress
Год: 2023
Страниц: 300
Язык: английский
Формат: pdf, epub
Размер: 10.2 MB

Learn how to automate your Kubernetes infrastructure using Ansible. This book will enable you to automate more tasks and save time with this human-readable platform. Containerized microservices deployed via Kubernetes allows you to save time, reduce human interaction and errors, and create applications that are more robust. You’ll learn how to automate the most redundant activities such as reports, services, the launch of a pod, adding permanent storage, configuring load balancing, and adding or modifying any Kubernetes parameter. You'll also gain an understanding of end-to-end use cases and how advanced cluster automation, such as Helm packages and node states, are evolving. Each lesson utilizes a specific use-case for the modern Kubernetes cluster and focuses on a single module from the most crucial parameter, complete with code demonstrations. Each code example is battle-proven in real-life with console interaction and verification.

Название: Globetrotting with GPT: A Digital Nomad's Guide to Creativity and Productivity
Автор: Susan Selle
Издательство: Selle Creative
Год: 2023
Страниц: 169
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.1 MB

"Globetrotting with GPT: A Digital Nomad's Guide to Creativity and Productivity" is a must-read for anyone who wants to enhance their productivity, creativity, and personal growth as a digital nomad or remote worker. Susan Selle, a seasoned traveler and educator, shares her insights on how to leverage the power of GPT and AI to maximize your potential and stay ahead of the curve in the fast-paced world of remote work. Whether you're a veteran digital nomad or just starting out, this book provides practical tips and actionable advice on how to stay connected with loved ones, attend conferences and workshops, experiment with new tools and innovations, and take risks to push the boundaries of what's possible with GPT and AI. With a multitude of GPT prompts in each chapter, readers will gain a deeper understanding of how to use GPT to their advantage in their professional and personal lives. From generating a list of Twitter handles for thought leaders in AI and GPT to utilizing GPT to handle your mundane tasks, this book provides a roadmap for success in the rapidly evolving world of remote work.

Название: Ruby: Learn Ruby in 24 Hours or Less - A Beginner’s Guide To Learning Ruby Programming Now
Автор: Robert Dwight
Издательство: Independently published
Год: May 12, 2022
Страниц: 132
Язык: английский
Формат: pdf, epub, mobi
Размер: 10.2 MB

Learn Ruby In 24 Hours Or Less! In this book you will find the fundamental aspects of the Ruby programming language. It will explain theories and lessons through detailed instructions and practical examples. With this eBook, you'll learn how to get Ruby, how to write Ruby statements, and how to use this language in creating your own programs. If you're searching for a comprehensive learning material for Ruby, this is the book you need. With the help of the important ideas and practical examples contained within, you will be able to master Ruby quickly even if you have never programmed anything before. By reading this material, you will become an effective Ruby programmer in 24 hours (or even less).

Название: Introduction to Ada
Автор: Raphael Amiard, Gustavo A. Hoffmann
Издательство: AdaCore
Год: Apr 28, 2023
Страниц: 277
Язык: английский
Формат: pdf (true), mobi, epub
Размер: 10.2 MB

This book will teach you the basics of the Ada programming language and is intended for those who already have a basic understanding of programming techniques. You will learn how to apply those techniques to programming in Ada. Today, Ada is heavily used in embedded real-time systems, many of which are safety critical. While Ada is and can be used as a general-purpose language, it will really shine in low-level applications: • Embedded systems with low memory requirements (no garbage collector allowed); • Direct interfacing with hardware; • Soft or hard real-time systems; • Low-level systems programming. Specific domains seeing Ada usage include Aerospace & Defense, civil aviation, rail, and many others. These applications require a high degree of safety: a software defect is not just an annoyance, but may have severe consequences. Ada provides safety features that detect defects at an early stage — usually at compilation time or using static analysis tools. Ada can also be used to create applications in a variety of other areas, such as: • Video game programming; • Real-time audio; • Kernel modules. This is a non-comprehensive list that hopefully sheds light on which kind of programming Ada is good at. In terms of modern languages, the closest in terms of targets and level of abstraction are probably C++ and Rust.

Название: Know Go: Generics
Автор: John Arundel
Издательство: Independently published
Год: April 18, 2022
Страниц: 143
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

Go beyond the basics, and master the new generics features introduced in Go 1.18! Learn all about type parameters and constraints in Go and how to use them, with this easy-to-read but comprehensive guide from top-rated Go teacher and mentor John Arundel. If you’re new to Go and generics, and wondering what all the fuss is about, this book is for you! If you have some experience with Go already, but want to learn about the new generics features, this book is also for you. And if you’ve been waiting impatiently for Go to just get generics already so you can use it, don’t worry: this book is for you too! You don’t need an advanced degree in computer science or tons of programming experience. Know Go: Generics explains what you need to know in plain, ordinary language, with simple examples that will show you what’s new, how the language changes will affect you, and exactly how to use generics in your own programs and packages.

Название: Machine Learning for Transportation Research and Applications
Автор: Yinhai Wang, Zhiyong Cui, Ruimin Ke
Издательство: Elsevier
Год: 2023
Страниц: 254
Язык: английский
Формат: pdf (true), epub
Размер: 33.3 MB

Transportation is a combination of systems that presents a variety of challenges often too intricate to be addressed by conventional parametric methods. Increasing data availability and recent advancements in Machine Learning provide new methods to tackle challenging transportation problems. This textbook is designed for college or graduate-level students in transportation or closely related fields to study and understand fundamentals in Machine Learning (ML). Readers will learn how to develop and apply various types of Machine Learning models to transportation-related problems. Example applications include traffic sensing, data-quality control, traffic prediction, transportation asset management, traffic-system control and operations, and traffic-safety analysis. The Chapter 2 introduces a spectrum of key concepts in the field of Machine Learning, starting with the definition and categories of Machine Learning, and then covering the basic building blocks of advanced Machine Learning algorithms. The theory behind the common regressions, including linear regression and logistic regression, gradient descent algorithms, regularization, and other key concepts of Machine Learning are discussed.