Название: Statistical Thinking: Analyzing Data in an Uncertain World
Автор: Russеll А. Роldrасk
Издательство: Princeton University Press
Год: 2023
Страниц: 281
Язык: английский
Формат: pdf (true)
Размер: 50.5 MB

An essential introduction to statistics for students of psychology and the social sciences. Statistical thinking is increasingly essential to understanding our complex world and making informed decisions based on uncertain data. This incisive undergraduate textbook introduces students to the main ideas of statistics in a way that focuses on deep comprehension rather than rote application or mathematical immersion. The presentation of statistical concepts is thoroughly modern, sharing cutting-edge ideas from the fields of machine learning and data science that help students effectively use statistical methods to ask questions about data. Statistical Thinking provides the tools to describe complex patterns that emerge from data and to make accurate predictions and decisions based on data. The only way to really learn statistics is to do statistics. While many statistics courses historically have been taught using point-and-click statistical software, it is increasingly common for statistical education to use open source languages in which students can code their own analyses. I think that being able to code one’s analyses is essential in order to gain a deep appreciation for statistical analysis, which is why the students in my course at Stanford are expected to learn to use the R statistical programming language to analyze data, alongside the theoretical knowledge that they learn from this book. There are two openly available companions to this textbook that can help the reader get started learning to program; one focuses on the R programming language, and another focuses on the Python language.

Название: Management Science using Excel: Harnessing Excel's advanced features for business optimization
Автор: Isааc Gоttliеb
Издательство: BPB Publications
Год: 2024
Страниц: 606
Язык: английский
Формат: pdf, epub
Размер: 23.9 MB

A practical guide to using Excel for decision making, forecasting, optimization, and more. With this book, you will acquire a strong understanding of Management Science in the decision-making field while mastering the solutions with Microsoft Excel. This book alleviates complicated mathematical models with easy Microsoft Excel tools. Management science is a practice of problem-solving and decision-making in organizations, business, and other fields. It uses various analytical methods, including mathematical modeling and statistics, to improve the ability of better decision’s making. The techniques in this book range from maximization of profit, performance, and Return on Investment (ROI) to minimization (cost, time, risk) through Monte Carlos simulations, sensitivity analysis, and other tools. The readers will find countless real-life examples and case studies from banking, finance, transportation, manufacturing, manpower assignment, scheduling, and inventory management through food and product mix. This book's linear and nonlinear techniques utilize the Excel Solver for the solutions. Once you get the hang of using the Solver – you can apply the tools learned to solve problems of your background, experience, and choice. This book takes a hands-on approach using Excel to solve these problems. Instead of using complex mathematical formulations and algorithms – you will learn to set up and solve these problems in an easy-to-follow manner in Excel.

Название: Computational Intelligence and Blockchain in Biomedical and Health Informatics
Автор: Раnkаj Вhаmbri, Sitа Rаni, Мuhаmmаd Fаhim
Издательство: CRC Press
Год: 2024
Страниц: 361
Язык: английский
Формат: pdf (true)
Размер: 30.6 MB

Advancements in computational intelligence, which encompasses Artificial Intelligence, Machine Learning, and data analytics, have revolutionized the way we process and analyze biomedical and health data. These techniques offer novel approaches to understanding complex biological systems, improving disease diagnosis, optimizing treatment plans, and enhancing patient outcomes. Computational Intelligence and Blockchain in Biomedical and Health Informatics introduces the role of computational intelligence and blockchain in the biomedical and health informatics fields and provides a framework and summary of the various methods. The book emphasizes the role of advanced computational techniques and offers demonstrative examples throughout. Techniques to analyze the impacts on the biomedical and health Informatics domains are discussed along with major challenges in deployment. Rounding out the book are highlights of the transformative potential of computational intelligence and blockchain in addressing critical issues in healthcare from disease diagnosis and personalized medicine to health data management and interoperability along with two case studies. This book is highly beneficial to educators, researchers, and anyone involved with health data. Machine Learning, on the other hand, takes advantage of methods that allow computers to discover patterns and make predictions without being explicitly programmed to do so. Models are trained using labelled data in supervised learning, while unlabelled data is used in unsupervised learning. Decision trees, support vector machines, and neural networks are all examples of common Machine Learning methods.

Название: Ransomware and Data Extortion: The Shifting Threat Landscape
Автор: Rуаn Gоldеn, Аnthоnу М. Frееd
Издательство: O’Reilly Media, Inc.
Год: 2024-04-19
Язык: английский
Формат: pdf, epub
Размер: 10.1 MB

Ransomware poses an existential threat to organizations of all sizes in any vertical. These attacks are extremely lucrative, with ransom demands and recovery costs bleeding victim organizations out of millions of dollars. This book provides an overview of the ransomware economy, including the threat that this complex attack ecosystem poses to organizations, and reveals how you can best prepare to be resilient in the face of this threat and remain operational. Ransomware is a major threat to businesses and organizations of all kinds. Ransomware and data extortion attacks are not only disruptive to business operations but also costly to resolve. They spur regulatory actions and civil litigation, including class action lawsuits against victim organizations, and more recently have even resulted in criminal charges being lodged against company officers. A dedicated anti-ransomware solution utilizes Artificial Intelligence (AI) and Machine Learning (ML) with behavioral analytics to identify and stop polymorphic and repacked variants of ransomware that EPP, EDR, and XDR continue to miss. This is because AI/ML endpoint protection models were trained on characteristics that all malware share, including a subset of ransomware.

Название: Spatiotemporal Data Analytics and Modeling: Techniques and Applications
Автор: Jоhn А, Sаthееsh Аbimаnnаn, Еl-Sауеd М. Еl-Аlfу
Издательство: Springer
Серия: Big Data Management
Год: 2024
Страниц: 253
Язык: английский
Формат: pdf (true), epub
Размер: 18.9 MB

With the growing advances in technology and transformation to digital services, the world is becoming more connected and more complex. Huge heterogeneous data are generated at rapid speed from various types of sensors. Augmented with Artificial Intelligence and Machine Learning and Internet of Things, latent relations, and new insights can be captured helping in optimizing plans and resource utilization, improving infrastructure, and enhancing quality of services. A “spatial data management system” is a way to take care of data that has something to do with space. This could include data such as maps, satellite images, and GPS data. A temporal data management system is a system designed to manage data that has a temporal component. This could include data such as weather data, financial data, and social media data. Some advanced techniques used in spatial and temporal data management systems include geospatial indexing for efficient querying and retrieval of location-based data, time-series analysis for understanding and predicting temporal patterns in datasets like weather or financial trends, machine learning algorithms for uncovering hidden patterns and correlations in large and complex datasets, and integration with Internet of Things (IoT) technologies for real-time data collection and analysis. These techniques, augmented with Artificial Intelligence, enable the extraction of latent relations and insights, thereby optimizing plans, improving infrastructure, and enhancing the quality of services. This book provides essential technical knowledge, best practices, and case studies on the state-of-the-art techniques of Artificial Intelligence and Machine Learning for spatiotemporal data analysis and modeling. It can be used as academic reference at graduate level or by professionals in science and engineering related fields such as Data Science and engineering, Big Data analytics and mining, Artificial Intelligence, Machine Learning and Deep Learning, cloud computing, and Internet of Things.

Название: Deep Learning in Internet of Things for Next Generation Healthcare
Автор: Lаvаnуа Shаrmа, Рrаdеер Кumаr Gаrg
Издательство: CRC Press
Год: 2024
Страниц: 311
Язык: английский
Формат: pdf (true)
Размер: 10.2 MB

This book presents the latest developments in Deep Learning-enabled healthcare tools and technologies and offers practical ideas for using the IoT with Deep Learning (motion-based object data) to deal with human dynamics and challenges including critical application domains, technologies, medical imaging, drug discovery, insurance fraud detection and solutions to handle relevant challenges. This book covers real-time healthcare applications, novel solutions, current open challenges, and the future of Deep Learning for next-generation healthcare. It includes detailed analysis of the utilization of the IoT with Deep Learning and its underlying technologies in critical application areas of emergency departments such as drug discovery, medical imaging, fraud detection, and genomes. Convolutional neural networks (CNNs), in particular, are excellent at extracting hierarchical characteristics from images using Deep Learning models. These models learn to recognize edges, textures, forms, and even intricate patterns inside images in the context of human vision. CNNs may automatically identify pertinent features for IoT applications from unprocessed visual data without the need for explicit feature engineering. The classifcation and recognition of objects is one of the most important uses of Deep Learning and human vision in IoT. Deep Learning models can be taught to identify and categorize objects in frames of pictures or videos. Security (intruder detection), retail (product identifcation), healthcare (medical image analysis), and other felds all make use of these capabilities. Postgraduate students and researchers in the departments of Computer Science, working in the areas of the IoT, Deep Learning, Machine Learning, image processing, Big Data, cloud computing, and remote sensing will find this book useful.

Название: Practical Web Accessibility: A Comprehensive Guide to Digital Inclusion, 2nd Edition
Автор: Аshlеу Firth
Издательство: Apress
Год: 2024
Страниц: 560
Язык: английский
Формат: pdf (true), epub
Размер: 59.5 MB

Everyone deserves to use the Internet. An estimated 1.3 billion people experience significant disability. That’s 16percent of the world’s population, or one in six of us. At the same time, over 96 percent of the one million most popular websites have an accessibility issue. Add to this the massive rise in legal cases around sites not being accessible, including Beyoncé, Disney, and Netflix, and you have an important topic that more and more people are starting to engage with. In this updated and revamped second edition of the Amazon technology chart-topping Practical Web Accessibility, you’ll be guided through a broad range of disabilities and access needs. You’ll understand the ways these users typically engage with the web, the barriers they often face, and practical advice on how your websites and content can be compliant, but more than that, inclusive and enjoyable to use. There’s also a new chapter on “Outsourcing Accessibility,” exploring third party “bolt-on” tools, “build your own website” platforms like Wix, and popular design systems. You‘ll explore whether they’re helpful or detrimental in the fight to make the web more accessible. For anyone, regardless of what they do, who wants to learn how to make websites and their content more accessible for those with disabilities. In the world of web, the book has been used by front and backend developers, designers, product and project managers, team and business leaders.

Название: Text and Math Into LaTeX, 6th Edition
Автор: Gеоrgе Grаtzеr
Издательство: Springer
Год: 2024
Страниц: 628
Язык: английский
Формат: pdf (true)
Размер: 33.0 MB

For more than 30 years,this comprehensive manual has been the standard introduction and complete reference for writing articles and books containing mathematical formulas. This sixth edition uses a slightly changed title, Text and Math into LaTeX, to emphasize the importance of text in mathematical/scientific composition. Sections that contained commands no longer much needed (such as includeonly) and the introductory sections to PDF (now ubiquitous) have been omitted. Many sections are now enhanced with discussion of new and useful packages. An occasional encouragement for the reader to consult ChatGPT for confirmation on various points illustrates the positive relationship between ChatGPT and LaTeX. LaTeX is widely used in many fields, including mathematics, Computer Science, engineering, physics, chemistry, economics, and linguistics. (ChatGPT lists 45 fields). Part I provides a quick introduction to LATEX, from typing examples of text and math to typing your first article such as on that shown on page 4 and similarly: creating your first presentation, such as the sample presentation, in a very short time. The rest of the book provides a detailed exposition of LATEX. LATEX has a huge collection of rules and commands. While the basics in Part I should serve you well in all your writing, most articles and presentations will also require to look up some special topics.

Название: Handbook of Digital Twins
Автор: Zhihаn Lуu
Издательство: CRC Press
Год: 2024
Страниц: 923
Язык: английский
Формат: pdf (true)
Размер: 13.5 MB

Over the last two decades, Digital Twins (DTs) have become the intelligent representation of future development in industrial production and daily life. Consisting of over 50 chapters by more than 100 contributors, this comprehensive handbook explains the concept, architecture, design specification and application scenarios of DTs. As a virtual model of a process, product or service to pair the virtual and physical worlds, DTs allow data analysis and system monitoring by using simulations. The fast-growing technology has been widely studied and developed in recent years. Featured with centralization, integrity and dynamics, it is cost-effective to drive innovation and performance. Many fields saw the adaptation and implementation across industrial production, healthcare, smart city, transportation and logistics. World-famous enterprises such as Siemens, Tesla, ANSYS and General Electric have built smart factories and pioneered digital production, heading towards Industry 4.0. The Cognitive Digital Twins (CDT) for manufacturing systems was proposed based on advances in cognitive science, Artificial Intelligence (AI) technologies, and Machine Learning techniques. According to the fundamental aspects of cognition, they define CDT as a DT with additional cognitive capabilities, including perception, attention, memory, reasoning, problem‑solving and learning. Recall that a Digital Twin (DT) is a virtual copy of a physical asset that promptly reproduces and alters the state and behavior of the asset. DT intensely employs Industry 4.0 data‑driven Artificial Intelligence technologies and simulations for adaptive monitoring, forecasting, optimization, and controlling asset performance.

Название: AI in Material Science: Revolutionizing Construction in the Age of Industry 4.0
Автор: Sуеd Sааd, Sуеd Аmmаd, Кumееl Rаshееd
Издательство: CRC Press
Год: 2025
Страниц: 289
Язык: английский
Формат: pdf (true)
Размер: 11.7 MB

This book explores the transformative impact of Artificial Intelligence (AI) on material science and construction practices in the Industry 4.0 landscape. It enquires into AI history and applications, examining material optimization, smart materials, and AI in construction. Covering automation, robotics, and AI-assisted design, the book provides insights into ethical considerations and future trends. A modern reference for scholars and professionals, it bridges academia and practical applications in the dynamic intersection of AI and materials science. As an academic exploration, this book navigates the ever-evolving landscape of Artificial Intelligence’s (AI) influence on modern materials within the Industry 4.0 era. The comprehensive nature of this work is rooted in the foundational principles and realistic applications of AI, focusing on its integration into material science and construction practices. Our collective goal in crafting this collection stems from a recognition of the widening breach between academic literature and industry-centric publications within the AI and materials science domain. AI has become an industry-wide revolutionary force in the context of Industry 4.0. The book presents a solid case for continuing the investigation of AI in the field of material science through this academic and professional introduction, opening the door for readers to learn about the revolutionary possibilities that lie at the intersection of AI and the construction industry. Learning about Artificial Intelligence, the fundamental concepts and tenets of AI are covered in this section. It examines the idea of AI, the distinctions between specific and general AI, and the many methods and algorithms used in systems that use AI. Readers can comprehend AI’s possible uses and consequences in the setting of material science by developing a solid comprehension of the technology. AI represents one of the most transformative and interesting fields in ultramodern technology and computer wisdom.