The Missing Bootstrap 5 Guide
Make your website stand out by unlocking the full potential of Bootstrap 5 and creating efficient UIsKey Features: Find out how to customize all parts of Bootstrap 5 with Sass, including working with the utility APICreate a unique website using only Bootstrap 5 with Sass customization and interactive featuresGrasp advanced Bootstrap 5 topics related to Sass, CSS, JavaScript, and source code optimizationBook Description: Bootstrap is one of the world's most popular and easy-to-use frontend UI toolkits for building responsive websites, but few know how to get the most out of its vast range of components, utilities, JavaScript plugins, and other features. The Missing Bootstrap 5 Guide will help you customize Bootstrap 5 with Sass to achieve a layout that stands out from the crowd, enabling you to create something unique that doesn't look like it was created with Bootstrap.With this practical guide to Bootstrap customization, developers working with Bootstrap will be able to utilize powerful customization techniques to create websites with unique designs and exclusive features. You'll see how you can develop a visually appealing website quickly and easily by taking a hands-on approach to customizing your website using advanced features of CSS, Sass, and JavaScript. Starting with learning how the Bootstrap 5 visual style is created with Sass, you'll find out how to customize it to fit your needs while achieving the website look you want. You'll then use this knowledge to create a website using most of Bootstrap 5's components and customization with Sass and JavaScript. Finally, you'll explore various advanced Bootstrap 5 topics related to Sass, CSS, JavaScript, and source code optimization.By the end of this book, you'll be able to design and build modern, captivating, and unique websites on your own using the immense capabilities of Bootstrap 5.What You Will Learn: Identify the most important Sass features for using Bootstrap 5Understand the structure and content of Sass code used in Bootstrap 5Explore customization options, colors, layout, content, forms, components, helpers, and utilitiesFind out how to customize, extend, and improve a website to make it uniqueDiscover different ways of using the CSS custom properties of Bootstrap 5Get to grips with Bootstrap 5 source code optimizationWho this book is for: This book is for UI designers and developers who are familiar with HTML and have prior experience with Bootstrap. Frontend as well as backend developers using Bootstrap, who don't know how to code CSS but have a solid grasp on HTML, will also find this book useful. Experienced users of the default Bootstrap files can use this book to learn all about customization and other advanced features.
Comet for Data Science
Gain the key knowledge and skills required to manage data science projects using CometKey Features: Discover techniques to build, monitor, and optimize your data science projectsMove from prototyping to production using Comet and DevOps toolsGet to grips with the Comet experimentation platformBook Description: This book provides concepts and practical use cases which can be used to quickly build, monitor, and optimize data science projects. Using Comet, you will learn how to manage almost every step of the data science process from data collection through to creating, deploying, and monitoring a machine learning model.The book starts by explaining the features of Comet, along with exploratory data analysis and model evaluation in Comet. You'll see how Comet gives you the freedom to choose from a selection of programming languages, depending on which is best suited to your needs. Next, you will focus on workspaces, projects, experiments, and models. You will also learn how to build a narrative from your data, using the features provided by Comet. Later, you will review the basic concepts behind DevOps and how to extend the GitLab DevOps platform with Comet, further enhancing your ability to deploy your data science projects. Finally, you will cover various use cases of Comet in machine learning, NLP, deep learning, and time series analysis, gaining hands-on experience with some of the most interesting and valuable data science techniques available.By the end of this book, you will be able to confidently build data science pipelines according to bespoke specifications and manage them through Comet.What You Will Learn: Prepare for your project with the right dataUnderstand the purposes of different machine learning algorithmsGet up and running with Comet to manage and monitor your pipelinesUnderstand how Comet works and how to get the most out of itSee how you can use Comet for machine learningDiscover how to integrate Comet with GitLabWork with Comet for NLP, deep learning, and time series analysisWho this book is for: This book is for anyone who has programming experience, and wants to learn how to manage and optimize a complete data science lifecycle using Comet and other DevOps platforms. Although an understanding of basic data science concepts and programming concepts is needed, no prior knowledge of Comet and DevOps is required.
Machine Learning on Geographical Data Using Python
Get up and running with the basics of geographic information systems (GIS), geospatial analysis, and machine learning on spatial data in Python. This book starts with an introduction to geodata and covers topics such as GIS and common tools, standard formats of geographical data, and an overview of Python tools for geodata. Specifics and difficulties one may encounter when using geographical data are discussed: from coordinate systems and map projections to different geodata formats and types such as points, lines, polygons, and rasters. Analytics operations typically applied to geodata are explained such as clipping, intersecting, buffering, merging, dissolving, and erasing, with implementations in Python. Use cases and examples are included. The book also focuses on applying more advanced machine learning approaches to geographical data and presents interpolation, classification, regression, and clustering via examples and use cases. This book is your go-to resource for machine learning on geodata. It presents the basics of working with spatial data and advanced applications. Examples are presented using code (accessible at github.com/Apress/machine-learning-geographic-data-python) and facilitate learning by application.What You Will LearnUnderstand the fundamental concepts of working with geodataWork with multiple geographical data types and file formats in PythonCreate maps in PythonApply machine learning on geographical data Who This Book Is ForReaders with a basic understanding of machine learning who wish to extend their skill set to analysis of and machine learning on spatial data while remaining in a common data science Python environment
Knowledge Science, Engineering and Management
The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022. The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA)Volume II: Knowledge Engineering Research and Applications (KERA)Volume III: Knowledge Management with Optimization and Security (KMOS)
Artificial Intelligence in Education. Posters and Late Breaking Results, Workshops and Tutorials, Industry and Innovation Tracks, Practitioners’ and Doctoral Consortium
This two-volume set LNAI 13355 and 13356 constitutes the refereed proceedings of the 23rd International Conference on Artificial Intelligence in Education, AIED 2022, held in Durham, UK, in July 2022.The 40 full papers and 40 short papers presented together with 2 keynotes, 6 industry papers, 12 DC papers, 6 Workshop papers, 10 Practitioner papers, 97 Posters and Late-Breaking Results were carefully reviewed and selected from 243 submissions. The conference presents topics such as intelligent systems and the cognitive sciences for the improvement and advancement of education, the science and engineering of intelligent interactive learning systems. The theme for the AIED 2022 conference was "AI in Education: Bridging the gap between academia, business, and non-pro t in preparing future-proof generations towards ubiquitous AI."
Predictive Policing and Artificial Intelligence
This edited text draws together the insights of numerous worldwide eminent academics to evaluate the condition of predictive policing and artificial intelligence (AI) as interlocked policy areas. Predictive and AI technologies are growing in prominence and at an unprecedented rate. Powerful digital crime mapping tools are being used to identify crime hotspots in real-time, as pattern-matching and search algorithms are sorting through huge police databases populated by growing volumes of data in an eff ort to identify people liable to experience (or commit) crime, places likely to host it, and variables associated with its solvability. Facial and vehicle recognition cameras are locating criminals as they move, while police services develop strategies informed by machine learning and other kinds of predictive analytics. Many of these innovations are features of modern policing in the UK, the US and Australia, among other jurisdictions. AI promises to reduce unnecessary labour, speed up various forms of police work, encourage police forces to more efficiently apportion their resources, and enable police officers to prevent crime and protect people from a variety of future harms. However, the promises of predictive and AI technologies and innovations do not always match reality. They often have significant weaknesses, come at a considerable cost and require challenging trade- off s to be made. Focusing on the UK, the US and Australia, this book explores themes of choice architecture, decision- making, human rights, accountability and the rule of law, as well as future uses of AI and predictive technologies in various policing contexts. The text contributes to ongoing debates on the benefits and biases of predictive algorithms, big data sets, machine learning systems, and broader policing strategies and challenges. Written in a clear and direct style, this book will appeal to students and scholars of policing, criminology, crime science, sociology, computer science, cognitive psychology and all those interested in the emergence of AI as a feature of contemporary policing.
Database and Expert Systems Applications
This two-volume set, LNCS 13426 and 13427, constitutes the thoroughly refereed proceedings of the 33rd International Conference on Database and Expert Systems Applications, DEXA 2022, held in Vienna in August 2022.The 43 full papers presented together with 20 short papers in these volumes were carefully reviewed and selected from a total of 120 submissions. The papers are organized around the following topics: Big Data Management and Analytics, Consistency, Integrity, Quality of Data, Constraint Modelling and Processing, Database Federation and Integration, Interoperability, Multi-Databases, Data and Information Semantics, Data Integration, Metadata Management, and Interoperability, Data Structures and much more.
Atlas of AI
The hidden costs of artificial intelligence--from natural resources and labor to privacy, equality, and freedom "This study argues that [artificial intelligence] is neither artificial nor particularly intelligent. . . . A fascinating history of the data on which machine-learning systems are trained."--New Yorker "A valuable corrective to much of the hype surrounding AI and a useful instruction manual for the future."--John Thornhill, Financial Times "It's a masterpiece, and I haven't been able to stop thinking about it."--Karen Hao, senior editor, MIT Tech Review What happens when artificial intelligence saturates political life and depletes the planet? How is AI shaping our understanding of ourselves and our societies? Drawing on more than a decade of research, award-winning scholar Kate Crawford reveals how AI is a technology of extraction: from the minerals drawn from the earth to the labor pulled from low-wage information workers to the data taken from every action and expression. Crawford reveals how this planetary network is fueling a shift toward undemocratic governance and increased inequity. Rather than taking a narrow focus on code and algorithms, Crawford offers us a material and political perspective on what it takes to make AI and how it centralizes power. This is an urgent account of what is at stake as technology companies use artificial intelligence to reshape the world.
Humology
We need to talk about the future! Technology is advancing faster than we can keep up with. We are no longer living at the speed of humanity. Technology dictates the pace while we battle to keep up.Humology explores how rapid advances in technologies are impacting our world, disrupting societies and ourselves. We are approaching a tipping point; in order to build better technologies tomorrow, we have to start with new principles today.This book will show you how to: Build solutions that address real needs Design products that work in harmony with human psychology Minimise disruption and increase adoption Discover your purpose, and be grounded in ethics
Systems Engineering Processes and Practice
Systems Engineering consists of two significant disciplines: the technical knowledge domain in which the systems engineer operates, and systems engineering management. This book focuses on both with equal treatment. The main feature of the book is blending traditional systems engineering with application to the Department of Defense (DoD) Adaptive Acquisition Pathway, a recent and major change to DoDs acquisition of new systems. Holistically, the book treats the technical systems engineering processes, the project processes or control processes, and the acquisition processes as integral parts. In addition, the organizational processes that enable systems engineering-the enterprise processes-as well as the as well as agreement process through which user/stakeholder requirements are established. are considered. Together, these provides a structure for solving system design problems that produce validated capabilities.
Artificial Intelligence and Smart Agriculture Applications
In this book, the recent applications of Artificial Intelligence for smart agriculture have been gathered to provide a valuable source for the literature. Applications vary from use of Machine and Deep Learning to image processing systems. The book aims to provide information on smart methods and intense data processing phases.
Computer Vision and Image Processing
This two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International Conference on Computer Vision and Image Processing, CVIP 2021, held in Rupnagar, India, in December 2021. The 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.
Computer Vision and Image Processing
This two-volume set (CCIS 1567-1568) constitutes the refereed proceedings of the 6h International Conference on Computer Vision and Image Processing, CVIP 2021, held in Rupnagar, India, in December 2021. The 70 full papers and 20 short papers were carefully reviewed and selected from the 260 submissions. The papers present recent research on such topics as biometrics, forensics, content protection, image enhancement/super-resolution/restoration, motion and tracking, image or video retrieval, image, image/video processing for autonomous vehicles, video scene understanding, human-computer interaction, document image analysis, face, iris, emotion, sign language and gesture recognition, 3D image/video processing, action and event detection/recognition, medical image and video analysis, vision-based human GAIT analysis, remote sensing, and more.
Knowledge Science, Engineering and Management
The three-volume sets constitute the refereed proceedings of the 15th International Conference on Knowledge Science, Engineering and Management, KSEM 2022, held in Singapore, during August 6-8, 2022. The 169 full papers presented in these proceedings were carefully reviewed and selected from 498 submissions. The papers are organized in the following topical sections: Volume I: Knowledge Science with Learning and AI (KSLA)Volume II: Knowledge Engineering Research and Applications (KERA)Volume III: Knowledge Management with Optimization and Security (KMOS)
Consul: Up and Running
With the advent of microservices, Kubernetes, public cloud, and hybrid computing, site reliability and DevOps engineers are facing more complexity than ever before. Service mesh is an exciting new technology that promises to help tackle this complexity. A service mesh provides you with a unified control plane to manage application networking across these distinct platforms. With this definitive guide, you'll learn how to automate networking for simple and secure application delivery with Consul. Author Luke Kysow, Consul engineer at HashiCorp, demonstrates how this service mesh solution provides a software-driven approach to security, observability, reliability, and traffic management. Once you learn how to deploy Consul on multiple platforms, you'll be able to take control of application traffic, prevent outages, view metrics, integrate with legacy systems, and more. Dive into the characteristics of service meshes, zero trust networking, and traffic-shaping patterns Deploy Consul on Kubernetes and virtual machines Learn how to secure, monitor, and manage your application traffic with Consul Use this guide to deploy and operate applications as a platform operator, DevOps engineer, or developer
New Statistics for Design Researchers
Design Research uses scientific methods to evaluate designs and build design theories. This book starts with recognizable questions in Design Research, such as A/B testing, how users learn to operate a device and why computer-generated faces are eerie. Using a broad range of examples, efficient research designs are presented together with statistical models and many visualizations. With the tidy R approach, producing publication-ready statistical reports is straight-forward and even non-programmers can learn this in just one day. Hundreds of illustrations, tables, simulations and models are presented with full R code and data included. Using Bayesian linear models, multi-level models and generalized linear models, an extensive statistical framework is introduced, covering a huge variety of research situations and yet, building on only a handful of basic concepts. Unique solutions to recurring problems are presented, such as psychometric multi-level models, beta regression for rating scales and ExGaussian regression for response times. A "think-first" approach is promoted for model building, as much as the quantitative interpretation of results, stimulating readers to think about data generating processes, as well as rational decision making. New Statistics for Design Researchers: A Bayesian Workflow in Tidy R targets scientists, industrial researchers and students in a range of disciplines, such as Human Factors, Applied Psychology, Communication Science, Industrial Design, Computer Science and Social Robotics. Statistical concepts are introduced in a problem-oriented way and with minimal formalism. Included primers on R and Bayesian statistics provide entry point for all backgrounds. A dedicated chapter on model criticism and comparison is a valuable addition for the seasoned scientist.
Computer Supported Cooperative Work and Social Computing
The two-volume set CCIS 1491 and 1492 constitutes the refereed post-conferenceproceedings of the 16th CCF Conference on Computer Supported Cooperative Work and Social Computing, ChineseCSCW 2021, held in Xiangtan, China, November 26-28, 2021. The conference was held in a hybrid mode i.e. online and on-site in Xiangtan due to the COVID-19 crisis.The 65 revised full papers and 22 revised short papers were carefully reviewed and selected from 242 submissions. The papers are organized in the following topical sections: Volume I: Collaborative Mechanisms, Models, Approaches, Algorithms and Systems; Cooperative Evolutionary Computation and Human-like Intelligent Collaboration; Domain-Specific Collaborative Applications;Volume II: Crowd Intelligence and Crowd Cooperative Computing; Social Media and Online Communities.
Security and Resilience of Cyber Physical Systems
In this era of 5G digital communication, the implementation of industry 4.0 is the need of the hour. The main aim of this industrial revolution is to completely automate the industry for better productivity, correct decision making and increased efficiency. All the concepts of industry 4.0 can only be implemented with the help of Cyber Physical System aka CPS. This is a smart system in which complete mechanism is monitored and controlled by computer-based algorithms.Confidentiality, Integrity and Availability are the three major concern for providing the add on security to any organization or a system. It has become a biggest challenge among the security professionals to secure these cyber physical systems. Hackers and bad guys are planning various kinds of attacks on daily basis on these systems.This book addresses the various security and privacy issues involved in the cyber physical system. There is need to explore the interdisciplinary analysis to ensure the resilience of these systems including different types of cyber threats to these systems. The book highlights the importance of security in preventing, detecting, characterizing and mitigating different types of cyber threats on CPS. The book offers a simple to understand various organized chapters related to the CPS and their security for graduate students, faculty, research scholars and industry professionals.The book offers comprehensive coverage of the most essential topics, including: Cyber Physical Systems and Industrial Internet of Things (IIoT) Role of Internet of Things and their security issues in Cyber Physical Systems. Role of Big data analytic to develop real time solution for CPS. DDoS attacks and their solutions in CPS. Emulator Mininet for simulating CPS. Spark-based DDoS Classification System for Cyber-Physical Systems
Artificial Intelligence Methods for Optimization of the Software Testing Process
Artificial Intelligence Methods for Optimization of the Software Testing Process: With Practical Examples and Exercises presents different AI-based solutions for overcoming the uncertainty found in many initial testing problems. The concept of intelligent decision making is presented as a multi-criteria, multi-objective undertaking. The book provides guidelines on how to manage diverse types of uncertainty with intelligent decision-making that can help subject matter experts in many industries improve various processes in a more efficient way. As the number of required test cases for testing a product can be large (in industry more than 10,000 test cases are usually created). Executing all these test cases without any particular order can impact the results of the test execution, hence this book fills the need for a comprehensive resource on the topics on the how's, what's and whys. To learn more about Elsevier's Series, Uncertainty, Computational Techniques and Decision Intelligence, please visit this link: https: //www.elsevier.com/books-and-journals/book-series/uncertainty-computational-techniques-and-decision-intelligence
Artificial Intelligence and You
What Is AI?Why Will It Affect You?How Do You Survive and Thrive through the AI Revolution?Sensationalism about AI has reached new heights, and getting a useful understanding of it has never been more important. AI will extend and accelerate thinking, delivering unprecedented abundance. But it will also require us to navigate a path of challenges ranging from today's issues of bias, privacy, and explainability, to job displacement through automation, and a future coexistence with superintelligent machines. This book is the roadmap to that path. In clear, accessible, and engaging language, Scott explains AI for readers from all walks of life who are looking for the full picture of how AI is transforming the world.
Artificial Intelligence and You
What Is AI?Why Will It Affect You?How Do You Survive and Thrive through the AI Revolution?Sensationalism about AI has reached new heights, and getting a useful understanding of it has never been more important. AI will extend and accelerate thinking, delivering unprecedented abundance. But it will also require us to navigate a path of challenges ranging from today's issues of bias, privacy, and explainability, to job displacement through automation, and a future coexistence with superintelligent machines. This book is the roadmap to that path. In clear, accessible, and engaging language, Scott explains AI for readers from all walks of life who are looking for the full picture of how AI is transforming the world.
Program Management for Open Source Projects
Every organization develops a bureaucracy, and open source projects are no exception. When your structure is intentional and serves the project, it can lead to a successful and predictable conclusion. But project management alone won't get you there. Take the next step to full program management. Become an expert at facilitating communication between teams, managing schedules and project lifecycle, coordinating a process for changes, and keeping meetings productive. Make decisions that get buy-in from all concerned. Learn how to guide your community-driven open source project with just the right amount of structure. Bureaucratic processes naturally develop in large organizations, and open source projects are no different. The trick is to keep the processes intentional and in service of the project. That's program management and you have probably been doing it even if you don't have that title. Make your open source projects successful, predictable, and enjoyable by applying the principles and skills of program management in this book. See how program management differs from project management. Build trust and credibility by building relationships, sharing information, and communicating effectively. Construct efficient decision-making and governance structures, with openness and clear responsibilities. Conduct more effective and enjoyable meetings. Hold the right kind of meeting for the matters to be discussed: text, phone, video, or face-to-face. Develop release lifecycles, including release planning, schedules, and go/no-go decisions, and keep on schedule. Create and manage an effective changes process. Use your bug tracker to better understand and manage the bugs and feature requests of your project. Make decisions that get buy-in from all concerned. Develop processes that serve your open source project instead of making the project serve the process.
Artificial Intelligence for Disease Diagnosis and Prognosis in Smart Healthcare
Artificial Intelligence (AI) in general and machine learning (ML) and deep learning (DL) in particular and related digital technologies are a couple of fledging paradigms that next-generation healthcare services are sprinting towards. These digital technologies can transform various aspects of healthcare, leveraging advances in computing and communication power. With a new spectrum of business opportunities, AI-powered healthcare services will improve the lives of patients, their families, and societies. However, the application of AI in the healthcare field requires special attention given the direct implication with human life and well-being. Rapid progress in AI leads to the possibility of exploiting healthcare data for designing practical tools for automated diagnosis of chronic diseases such as dementia and diabetes. This book highlights the current research trends in applying AI models in various disease diagnoses and prognoses to provide enhanced healthcare solutions. The primary audience of the book are postgraduate students and researchers in the broad domain of healthcare technologies.Features In-depth coverage of the role of AI in smart healthcare Research guidelines for AI and data science researchers/practitioners interested in the healthcare sector Comprehensive coverage on security and privacy issues for AI in smart healthcare
Resisting AI
Artificial Intelligence (AI) is everywhere, yet it causes damage to society in ways that can't be fixed. Instead of helping to address our current crises, AI causes divisions that limit people's life chances, and even suggests fascistic solutions to social problems. This book provides an analysis of AI's deep learning technology and its political effects and traces the ways that it resonates with contemporary political and social currents, from global austerity to the rise of the far right. Dan McQuillan calls for us to resist AI as we know it and restructure it by prioritising the common good over algorithmic optimisation. He sets out an anti-fascist approach to AI that replaces exclusions with caring, proposes people's councils as a way to restructure AI through mutual aid and outlines new mechanisms that would adapt to changing times by supporting collective freedom. Academically rigorous, yet accessible to a socially engaged readership, this unique book will be of interest to all who wish to challenge the social logic of AI by reasserting the importance of the common good.
Weaving Fire Into Form
This book investigates multiple facets of the emerging discipline of Tangible, Embodied, and Embedded Interaction (TEI). This is a story of atoms and bits. We explore the interweaving of the physical and digital, toward understanding some of their wildly varying hybrid forms and behaviors. Spanning conceptual, philosophical, cognitive, design, and technical aspects of interaction, this book charts both history and aspirations for the future of TEI. We examine and celebrate diverse trailblazing works, and provide wide-ranging conceptual and pragmatic tools toward weaving the animating fires of computation and technology into evocative tangible forms. We also chart a path forward for TEI engagement with broader societal and sustainability challenges that will profoundly (re)shape our children's and grandchildren's futures. We invite you all to join this quest.
Artificial Intelligence
This textbook covers the broader field of artificial intelligence. The chapters for this textbook span within three categories: Deductive reasoning methods: These methods start with pre-defined hypotheses and reason with them in order to arrive at logically sound conclusions. The underlying methods include search and logic-based methods. These methods are discussed in Chapters 1through 5.Inductive Learning Methods: These methods start with examples and use statistical methods in order to arrive at hypotheses. Examples include regression modeling, support vector machines, neural networks, reinforcement learning, unsupervised learning, and probabilistic graphical models. These methods are discussed in Chapters 6 through 11. Integrating Reasoning and Learning: Chapters 11 and 12 discuss techniques for integrating reasoning and learning. Examples include the use of knowledge graphs and neuro-symbolic artificial intelligence.The primary audience for this textbook are professors and advanced-level students in computer science. It is also possible to use this textbook for the mathematics requirements for an undergraduate data science course. Professionals working in this related field many also find this textbook useful as a reference.
Resisting AI
Artificial Intelligence (AI) is everywhere, yet it causes damage to society in ways that can't be fixed. Instead of helping to address our current crises, AI causes divisions that limit people's life chances, and even suggests fascistic solutions to social problems. This book provides an analysis of AI's deep learning technology and its political effects and traces the ways that it resonates with contemporary political and social currents, from global austerity to the rise of the far right. Dan McQuillan calls for us to resist AI as we know it and restructure it by prioritising the common good over algorithmic optimisation. He sets out an anti-fascist approach to AI that replaces exclusions with caring, proposes people's councils as a way to restructure AI through mutual aid and outlines new mechanisms that would adapt to changing times by supporting collective freedom. Academically rigorous, yet accessible to a socially engaged readership, this unique book will be of interest to all who wish to challenge the social logic of AI by reasserting the importance of the common good.
Applied Deep Learning
Part 1 Introduction and Overview.- Introduction.- Part 2 Foundations of Mashine Learning.- Fundamentals of Machine Learning.- Supervised Learning.- Un-Supervised Learning.- Performance Evaluation Metrics.- Part 3 Deep Learning Concepts and Techniques.- Introduction to Deep Learning.- Image Classification and Object Detection.- Deep Learning Techniques for Time Series Modelling.- Natural Language Processing.- Deep Generative Models.- Deep Reinforcement Learning.- Part 4 Enterprise Machine Learning.- Accelerated Machine Learning.- Deploying and Hosting Machine Learning Models.- Enterprise Machine Learning Serving.
A Walk to the Cloud
Learn about the basics of cloud computing through the eyes of a little otter who, with the help of a clouded leopard, searches for an easier life in The Cloud. With hand-drawn imagery that was inspired by Winnie the Pooh, and gentle storytelling that is meant to be both playful and educational, readers of all ages will walk away with memorable explanations of key concepts, including: multi-cloud, public/private/hybrid clouds, fully-managed environments, elastic scalability, and more.
Machine Learning at Scale with H2O
Build predictive models using large data volumes and deploy them to production using cutting-edge techniquesKey Features: Build highly accurate state-of-the-art machine learning models against large-scale dataDeploy models for batch, real-time, and streaming data in a wide variety of target production systemsExplore all the new features of the H2O AI Cloud end-to-end machine learning platformBook Description: H2O is an open source, fast, and scalable machine learning framework that allows you to build models using big data and then easily productionalize them in diverse enterprise environments.Machine Learning at Scale with H2O begins with an overview of the challenges faced in building machine learning models on large enterprise systems, and then addresses how H2O helps you to overcome them. You'll start by exploring H2O's in-memory distributed architecture and find out how it enables you to build highly accurate and explainable models on massive datasets using your favorite ML algorithms, language, and IDE. You'll also get to grips with the seamless integration of H2O model building and deployment with Spark using H2O Sparkling Water. You'll then learn how to easily deploy models with H2O MOJO. Next, the book shows you how H2O Enterprise Steam handles admin configurations and user management, and then helps you to identify different stakeholder perspectives that a data scientist must understand in order to succeed in an enterprise setting. Finally, you'll be introduced to the H2O AI Cloud platform and explore the entire machine learning life cycle using multiple advanced AI capabilities.By the end of this book, you'll be able to build and deploy advanced, state-of-the-art machine learning models for your business needs.What You Will Learn: Build and deploy machine learning models using H2OExplore advanced model-building techniquesIntegrate Spark and H2O code using H2O Sparkling WaterLaunch self-service model building environmentsDeploy H2O models in a variety of target systems and scoring contextsExpand your machine learning capabilities on the H2O AI CloudWho this book is for: This book is for data scientists and machine learning engineers who want to gain hands-on machine learning experience by building and deploying state-of-the-art models with advanced techniques using H2O technology. An understanding of the data science process and experience in Python programming is recommended. This book will also benefit students by helping them understand how machine learning works in real-world enterprise scenarios.
The Metaverse
What is the Metaverse, exactly? Why is everyone going nuts over this? Why has it become such a fascination in the digital world? How to content ourselves with the concept of the Metaverse?So, if these questions spark your interest, why not take on a quest to discover what it is? The metaverse is an idea that has been around for a long time but has recently gained attention. Its craze has just swept over the internet, and with good cause. Technocrats, Researchers, and Economists are working tirelessly to develop the Ecosystem. They see it as a valuable asset for the future.Introducing To You- The Metaverse: Gain Insight into The Exciting Future of the InternetWhat can you learn from the book?- Introduction to Metaverse - Evolution of the Internet - Web 3.0- A decentralized web - What is Extended Reality? - Augmented Reality (AR) - Virtual Reality (VR) - Mixed Reality (MR) - The Metaverse Ecosystem - Metaverse Characteristics - Security Risks in Metaverse - Use Cases - Future - Summary
The Metaverse
What is the Metaverse, exactly? Why is everyone going nuts over this? Why has it become such a fascination in the digital world? How to content ourselves with the concept of the Metaverse?So, if these questions spark your interest, why not take on a quest to discover what it is? The metaverse is an idea that has been around for a long time but has recently gained attention. Its craze has just swept over the internet, and with good cause. Technocrats, Researchers, and Economists are working tirelessly to develop the Ecosystem. They see it as a valuable asset for the future.Introducing To You- The Metaverse: Gain Insight into The Exciting Future of the InternetWhat can you learn from the book?- Introduction to Metaverse - Evolution of the Internet - Web 3.0- A decentralized web - What is Extended Reality? - Augmented Reality (AR) - Virtual Reality (VR) - Mixed Reality (MR) - The Metaverse Ecosystem - Metaverse Characteristics - Security Risks in Metaverse - Use Cases - Future - Summary
Biomedical Image Registration
This book constitutes the refereed proceedings of the 10th International Workshop on Biomedical Image Registration, WBIR 2020, which was supposed to be held in Munich, Germany, in July 2022.The 11 full and poster papers together with 17 short papers included in this volume were carefully reviewed and selected from 32 submitted papers. The papers are organized in the following topical sections: optimization, deep learning architectures, neuroimaging, diffeomorphisms, uncertainty, topology and metrics.
Computing Science, Communication and Security
This book constitutes revised selected papers of the Third International Conference on Computing Science, Communication and Security, COMS2 2022, held in Gandhinagar, India, in February 2022. Due to the COVID-19 pandemic the conference was held virtually. The 22 full papers were thoroughly reveiwed and selected from 143 submissions. The papers present ideas, and research results on the aspects of computing science, network communication, and security.
Transactions on Computational Collective Intelligence XXXVI
These transactions publish research in computer-based methods of computational collective intelligence (CCI) and their applications in a wide range of fields such as performance optimization in IoT, big data, reliability, privacy, security, service selection, QoS and machine learning. This 36th issue contains 7 selected papers which present new findings and innovative methodologies as well as discuss issues and challenges in the field of collective intelligence from big data and networking paradigms while addressing security, privacy, reliability and optimality to achieve QoS to the benefit of final usersThis is an open access book.
Exam Ref Sc-100 Microsoft Cybersecurity Architect
Prepare for Microsoft Exam SC-100 and demonstrate your real-world mastery of skills and knowledge needed to design and evolve cybersecurity strategy for all aspects of enterprise architecture. Designed for experienced IT professionals, this Exam Ref focuses on critical thinking and decision-making acumen needed for success at the Microsoft Certfied: Cybersecurity Architect Expert level. Focus on the expertise measured by these objectives: Design a Zero Trust strategy and architecture Evaluate Governance Risk Compliance (GRC) technical strategies and security operations strategies Design a strategy for data and applications Recommend security best practices and priorities This Microsoft Exam Ref: Organizes its coverage by exam objectives Features strategic, what-if scenarios to challenge you Assumes you have advanced security engineering experience and knowledge and experience with hybrid and cloud implementations About the Exam Exam SC-100 focuses on the knowledge needed to build overall security strategy and architecture; design strategies for security operations, identity security, and regulatory compliance; evaluate security posture; recommend technical strategies to manage risk; design strategies to secure server endpoints, client endpoints, and SaaS, PaaS, and IaaS services; specify application security requirements; design data security strategy; recommend security best practices based on Microsoft Cybersecurity Reference Architecture and Azure Security Benchmarks; use the Cloud Adoption Framework to recommend secure methodologies; use Microsoft Security Best Practices to recommend ransomware strategies. About Microsoft Certifiation The Microsoft Certified: Cybersecurity Architect Expert certication credential demonstrates your ability to plan and implement cybersecurity strategy that meets business needs and protects the organization's mission and processes across its entire enterprise architecture. To fulfill your requirements, pass this exam and earn one of these four prerequisite certifications: Microsoft Certfied: Azure Security Engineer Associate; Microsoft Certfied: Identity and Access Administrator Associate; Microsoft365 Certied: Security Administrator Associate; Microsoft Certfied: Security Operations Analyst Associate. See full details at: microsoft.com/learn
Ethical Digital Technology in Practice
This is an important book. Ethics is not an easy topic, and arguably the ethics of IT is less so--not leastdue to its potential for developing and evolving in ways that are either unforeseen or unimaginable . . . . Use this book as a practical resource, an informative and educational source of material in developing expertise, but also as an invaluable toolkit to support practical application of ethical thinking. --Declan Brady, President of the Irish Computer Society and a member of the Board of Directors of the Council of European Professional Informatics SocietiesDigital technology is about people. It is about those who plan, develop and implement applications which other people use and are affected by. It is about the impact on all these people as well as on the world at large. Ethical Digital Technology in Practice takes a real-world perspective to explore these impacts over time and discover ways in which to promote ethical digital technology through good practice. It draws upon the author's published articles in trade magazines, professional journals and online blogs. These are synthesised into a blueprint which addresses, in a practical manner, the societal issues surrounding the increasing use and abuse of digital technology. It is a follow-up book to the author's book The Evolving Landscape of Ethical Digital Technology, which has a researcher's perspective.This book is a hands-on account of the computer revolution from 1995 to the current day when the world is increasingly dependent on digital technology. It explores some of the social and ethical issues that are part of this revolution. This is not a book about deep philosophical and technical concepts. Nor does it claim to be comprehensive. It is the author's personal account of technological change and its effects on people. It is written by a boy who was smitten by computer technology at the age of 15, became a computer professional and subsequently spent many years showing young people how to develop and use digital technology in a good way. It is a book based upon the author's engagement with practitioners, academics and students during the period as well as his continued fascination with this fantastic technology. Ethical Digital Technology in Practice is a book about the real world, of what has happened and what might happen as digital technology continues to pervade.
Contesting Austerity and Free Trade in the EU
The book explores the diffusion of protest against austerity and free trade agreements in the wave of contention that shook the EU following the 2008 Economic Crisis.
Artificial Intelligence for Knowledge Management
This book features a selection of extended papers presented at the 8th IFIP WG 12.6 International Workshop on Artificial Intelligence for Knowledge Management, AI4KM 2021, held in Yokohama, Japan, in January 2021, in the framework of the International Joint Conference on Artificial Intelligence, IJCAI 2020.*The 14 revised and extended papers presented together with an invited talk were carefully reviewed and selected for inclusion in this volume. They present new research and innovative aspects in the field of knowledge management and discuss methodological, technical and organizational aspects of artificial intelligence used for knowledge management.*The workshop was held virtually.
Theory and Practice of Computation
This book provides a collection of papers from the Ninth Workshop on Computing: Theory and Practice, WCTP 2019 devoted to theoretical and practical approaches to computation, which was organized by four top universities in Japan and the Philippines: Tokyo Institute of Technology, Osaka University, the University of the Philippines Diliman, and De La Salle University. The proceedings provide a broad overview of recent research trends in computer science research in Asia, particularly in these two countries. The papers included in the proceedings focus on both theoretical and practical aspects of computations, such as programming language theory, modeling of software systems, applications of machine learning, empathic computing, and various applications of information technology.
Computers Helping People with Special Needs
The two-volume set LNCS 13341 and 13342 constitutes the refereed proceedings of the Joint International Conference on Digital Inclusion, Assistive Technology, and Accessibility, ICCHP-AAATE 2022. The conference was held in Lecco, Italy, in July 2022.The 112 papers presented were carefully reviewed and selected from 285 submissions. Included also are 18 introductions. The papers are organized in the following topical sections: Part I: Art Karshmer Lectures in Access to Mathematics, Science and Engineering; Digital Solutions for Inclusive Mobility: solutions and accessible maps for indoor and outdoor mobility; implementation and innovation in the area of independent mobility through digital technologies; haptic and digital access to art and artefacts; accessibility of co-located meetings; interactions for text input and alternative pointing; cognitive disabilities and accessibility; augmentative and alternative communication (AAC): emerging trends, opportunities and innovations; language accessibility for the deaf and hard-of-hearing. Part II: Digital accessibility: readability and understandability; serious and fun games; internet of things: services and applications for people with disabilities and elderly persons; technologies for inclusion and participation at work and everyday activities; robotic and virtual reality technologies for children with disabilities and older adults; development, evaluation and assessment of assistive technologies; ICT to support inclusive education - universal learning design (ULD); design for assistive technologies and rehabilitation; assistive technologies and inclusion for older people.
Applied Machine Learning Explainability Techniques
Leverage top XAI frameworks to explain your machine learning models with ease and discover best practices and guidelines to build scalable explainable ML systemsKey Features: Explore various explainability methods for designing robust and scalable explainable ML systemsUse XAI frameworks such as LIME and SHAP to make ML models explainable to solve practical problemsDesign user-centric explainable ML systems using guidelines provided for industrial applicationsBook Description: Explainable AI (XAI) is an emerging field that brings artificial intelligence (AI) closer to non-technical end users. XAI makes machine learning (ML) models transparent and trustworthy along with promoting AI adoption for industrial and research use cases.Applied Machine Learning Explainability Techniques comes with a unique blend of industrial and academic research perspectives to help you acquire practical XAI skills. You'll begin by gaining a conceptual understanding of XAI and why it's so important in AI. Next, you'll get the practical experience needed to utilize XAI in AI/ML problem-solving processes using state-of-the-art methods and frameworks. Finally, you'll get the essential guidelines needed to take your XAI journey to the next level and bridge the existing gaps between AI and end users.By the end of this ML book, you'll be equipped with best practices in the AI/ML life cycle and will be able to implement XAI methods and approaches using Python to solve industrial problems, successfully addressing key pain points encountered.What You Will Learn: Explore various explanation methods and their evaluation criteriaLearn model explanation methods for structured and unstructured dataApply data-centric XAI for practical problem-solvingHands-on exposure to LIME, SHAP, TCAV, DALEX, ALIBI, DiCE, and othersDiscover industrial best practices for explainable ML systemsUse user-centric XAI to bring AI closer to non-technical end usersAddress open challenges in XAI using the recommended guidelinesWho this book is for: This book is for scientists, researchers, engineers, architects, and managers who are actively engaged in machine learning and related fields. Anyone who is interested in problem-solving using AI will benefit from this book. Foundational knowledge of Python, ML, DL, and data science is recommended. AI/ML experts working with data science, ML, DL, and AI will be able to put their knowledge to work with this practical guide. This book is ideal for you if you're a data and AI scientist, AI/ML engineer, AI/ML product manager, AI product owner, AI/ML researcher, and UX and HCI researcher.
Administrating Microsoft Dynamics 365 Business Central Online
A hands-on guide to learning Dynamics 365 Business Central Admin Center to manage SaaS environments and set up cloud migration from an on-premise environmentKey Features: Manage and create Business Central environments of different types and plan your apps for future releasesSet up the telemetry on a tenant and extension level and analyze it with different toolsSet up cloud migration to move data from on-premise to the cloud and automate migration with PowerShell scriptBook Description: This book features all the information you need to get started with administrating Microsoft Dynamics 365 Business Central Online. It contains detailed information about the admin portal and cloud migration process, all based on real usage experience.The book starts by covering the data migration process for developers, which will show you how to organize the data without code. You'll also learn how the admin portal can be useful if you want to export a database copy, restore a backup, and set up telemetry to get detailed information about the call stack and operation statuses. As you progress, you'll learn how to check your Business Central SaaS environment details, create new and different types of environments, and notifications, and keep your cloud data within limits. Later, you'll explore how to set up cloud migration from an on-premise environment to SaaS, run the migration, upgrade data, and fix problems if something goes wrong.By the end of this book, you'll be able to create new production and sandbox environments, restore them from backups, analyze environment telemetry, and confidently migrate your data to the cloud.What You Will Learn: Manage different Business Central environments, their statuses, and updates, and create new environmentsUnderstand how to deploy a SaaS environment from a backupAnalyze environment telemetry and its operation, and discover how to set up extended telemetry with Application InsightsExplore how to get information about tenant capacity limits and their usage of resourcesSet up cloud migration and move your data from on-premise to SaaSAutomate administration and migration processes with APIsWho this book is for: This book is for business central developers, consultants, and customers who are involved in migration and administration processes. Those planning to move their on-premise solution to the cloud will also find this book helpful. Both developers and consultants will learn how to migrate data without a single line of code and use environment telemetry.
Computers Helping People with Special Needs
The two-volume set LNCS 13341 and 13342 constitutes the refereed proceedings of the Joint International Conference on Digital Inclusion, Assistive Technology, and Accessibility, ICCHP-AAATE 2022. The conference was held in Lecco, Italy, in July 2022. The 112 papers presented were carefully reviewed and selected from 285 submissions. Included also are 18 introductions. The papers are organized in the following topical sections: Part I: Art Karshmer Lectures in Access to Mathematics, Science and Engineering; Digital Solutions for Inclusive Mobility: solutions and accessible maps for indoor and outdoor mobility; implementation and innovation in the area of independent mobility through digital technologies; haptic and digital access to art and artefacts; accessibility of co-located meetings; interactions for text input and alternative pointing; cognitive disabilities and accessibility; augmentative and alternative communication (AAC): emerging trends, opportunities and innovations; language accessibility for the deaf and hard-of-hearing. Part II: Digital accessibility: readability and understandability; serious and fun games; internet of things: services and applications for people with disabilities and elderly persons; technologies for inclusion and participation at work and everyday activities; robotic and virtual reality technologies for children with disabilities and older adults; development, evaluation and assessment of assistive technologies; ICT to support inclusive education - universal learning design (ULD); design for assistive technologies and rehabilitation; assistive technologies and inclusion for older people.11 Chapters are available open access under a Creative Commons Attribution 4.0 International License via link.springer.com.
Computational Intelligence and Image Processing in Medical Applications
In recent years, there have been significant progress in computational intelligence and image processing with machine learning and deep learning as important components of modern artificial intelligence. All these progresses face challenges in dealing with Covid-19 pandemic for detection and treatment.This comprehensive compendium provides not only updated advances of computational intelligence and image processing in the detection and treatment of Covid-19, but also other medical applications such as in cancer detection and cardiovascular diseases, etc. More traditional approaches such as 2D segmentation and 3D reconstruction are included.The useful reference text is an updated version of the edited title, Computer Vision in Medical Imaging (World Scientific, 2014) and its companion volume, Frontiers of Medical Imaging (World Scientific, 2015). The book is written for engineers, scientists and the medical community to meet the increased challenges in medical applications.
Advanced Informatics for Computing Research
This volume constitutes selected and revised papers of the 5th International Conference on Advanced Informatics for Computing Research, ICAICR 2021, held in Gurugram, India, in December 2021. The 17 revised full papers and 6 short papers presented were carefully reviewed and selected from 306 submissions. The papers targeted state-of-the-art as well as emerging topics pertaining to advanced informatics for computing research and its implementation for engineering applications.
Applications and Trends in Fintech II: Cloud Computing, Compliance, and Global Fintech Trends
This book is the second part of Applications and Trends in Fintech, which serves as a comprehensive guide to the advanced topics in fintech, including the deep learning and natural language processing algorithms, blockchain design thinking, token economics, cybersecurity, cloud computing and quantum computing, compliance and risk management, and global fintech trends. Readers will gain knowledge about the applications of fintech in finance and its latest developments as well as trends.This fifth volume covers global fintech trends and emerging technologies such as cloud computing and quantum computing, as well as the compliance and risk management frameworks for fintech companies. Together with the first part in applications and trends (fourth volume), these two books will deepen readers' understanding of the fintech fundamentals covered in previous volumes through various applications and analysis of impacts and trends.
Applications and Trends in Fintech II: Cloud Computing, Compliance, and Global Fintech Trends
This book is the second part of Applications and Trends in Fintech, which serves as a comprehensive guide to the advanced topics in fintech, including the deep learning and natural language processing algorithms, blockchain design thinking, token economics, cybersecurity, cloud computing and quantum computing, compliance and risk management, and global fintech trends. Readers will gain knowledge about the applications of fintech in finance and its latest developments as well as trends.This fifth volume covers global fintech trends and emerging technologies such as cloud computing and quantum computing, as well as the compliance and risk management frameworks for fintech companies. Together with the first part in applications and trends (fourth volume), these two books will deepen readers' understanding of the fintech fundamentals covered in previous volumes through various applications and analysis of impacts and trends.
