Название: Formal Analysis for Natural Language Processing: A Handbook
Автор: Zhiwei Feng
Издательство: Springer
Год: 2023
Страниц: 802
Язык: английский
Формат: pdf (true), epub
Размер: 52.4 MB

The field of Natural Language Processing (NLP) is one of the most important and useful application areas of Artificial Intelligence (AI). NLP is now rapidly evolving, as new methods and toolsets converge with an ever-expanding wealth of available data. This state-of-the-art handbook addresses all aspects of formal analysis for Natural Language Processing. Following a review of the field’s history, it systematically introduces readers to the rule-based model, statistical model, neural network model, and pre-training model in Natural Language Processing. At a time characterized by the steady and vigorous growth of Natural Language Processing, this handbook provides a highly accessible introduction and much-needed reference guide to both the theory and method of NLP. It can be used for individual study, as the textbook for courses on Natural Language Processing or computational linguistics, or as a supplement to courses on Artificial Intelligence, and offers a valuable asset for researchers, practitioners, lecturers, graduate and undergraduate students alike.

Название: TypeScript Cookbook; Real World Type-Level Programming (5th Early Release)
Автор: Stefan Baumgartner
Издательство: O’Reilly Media, Inc.
Год: 2023-05-10
Страниц: 251
Язык: английский
Формат: pdf, epub (true), mobi
Размер: 10.2 MB

TypeScript is one of the most important tools for jаvascript developers. Still, even experienced developers wonder why the TypeScript compiler is throwing squiggly red lines at them. Enter TypeScript Cookbook. With this practical guide, author Stefan Baumgartner provides senior engineers with solutions for everyday TypeScript problems. If you're conversant with TypeScript as well as jаvascript basics, this book provides actionable recipes to help you tackle a wide array of issues. From setting up complex project structures to developing advanced helper types, each self-contained recipe guides you through the problem and discusses why and how a solution works.

Название: Cloud-based Multi-Modal Information Analytics: A Hands-on Approach
Автор: Srinidhi Hiriyannaiah, Siddesh G.M., Srinivasa K.G.
Издательство: CRC Press
Год: 2023
Страниц: 257
Язык: английский
Формат: pdf (true)
Размер: 34.7 MB

Cloud based Multi-Modal Information Analytics: A Hands-on Approach discusses the various modalities of data and provide an aggregated solution using cloud. It includes the fundamentals of neural networks, different types and how they can be used for the multi-modal information analytics. The various application areas that are image-centric and videos are also presented with deployment solutions in the cloud. Deep Learning (DL) applications are based on neural networks for learning and prediction for various problems of Computer Vision, self-driving, speech translation and other applications. PyTorch is an open source library for implementing programs on computer vision and multimodal data. It supports all operating systems with a primary focus on the interface of Python. There are a wide number of applications built on PyTorch, which include Tesla Autopilot, Uber’s Pyro, Hugging Face’s Transformers, PyTorch Lightning and Catalyst.

Название: A Functional Approach to Java: Augmenting Object-Oriented Code with Functional Principles (Final Release)
Автор: Ben Weidig
Издательство: O’Reilly Media
Год: 2023
Страниц: 403
Язык: английский
Формат: epub, mobi
Размер: 10.2 MB

Java developers usually tackle the complexity of software development through object-oriented programming (OOP). But not every problem is a good match for OOP. The functional programming (FP) paradigm offers you another approach to solving problems, and Java provides easy-to-grasp FP tools such as lambdas and streams. If you're interested in applying FP concepts to your Java code, this book is for you. Functional programming isn’t a new idea. In fact, it’s even older than object-oriented programming! It first appeared in the early years of computing, in the 1950s, in the Lisp⁠ programming language and has been used quite commonly in academia and niche fields. In recent years, however, there has been an increasing interest in functional paradigms. This book might not be for you if you are looking for a compartmentalized, recipe-style book presenting “ready-to-implement” solutions. Its main intention is to introduce functional concepts and idioms and teach you how to incorporate them into your Java code.

Название: Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence
Автор: Adedeji B. Badiru, Olumuyiwa Asaolu
Издательство: CRC Press
Год: 2023
Страниц: 399
Язык: английский
Формат: pdf (true)
Размер: 14.0 MB

Artificial Intelligence (AI) and digital engineering have become prevalent in business, industry, government, and academia. Handbook of Mathematical and Digital Engineering Foundations for Artificial Intelligence: A Systems Methodology provides a guide for using digital engineering platforms for advancing AI applications. The book discusses an interface of education and research in the pursuit of AI developments and highlights the facilitation of advanced education through AI and digital engineering systems. It presents an integration of soft and hard skills in developing and using AI and offers a rigorous systems approach to understanding and using AI. This handbook will be the go-to resource for practitioners and students on applying systems methodology to the body of knowledge of understanding, embracing, and using digital engineering tools and techniques. The recent developments and emergence of Chatbots (AI tools) all have mathematical foundations for their efficacy. Such AI tools include ChatGPT, GPT-4, Bard, Tidio Support Bot, Kuki AI Companion, Meena, BlenderBot, Rose AI Chatbot, Replika: AI Friend, Eviebot, and Tay.

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.