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Visual Intelligence

This book addresses the topic of HR analytics focusing especially on demystifying analytics for HR managers, from both statistical and computing points of view.

This book addresses the topic of HR analytics focusing especially on demystifying analytics for HR managers, from both statistical and computing points of view.

Theory, Tools and Techniques

People Analytics

The DnA of Statistics

Hands-on Tools, Exercises, Walkthroughs, and Resources for New Game Designers

The Game Designer's Workbook

This book is essential for anyone eager to understand the groundbreaking advancements in generative AI and its transformative effects across industries, making it a valuable resource for both professional growth and creative inspiration. Generative AI: Disruptive Technologies for Innovative Applications delves into the exciting and rapidly evolving world of generative artificial intelligence and its profound impact on various industries and domains. This comprehensive volume brings together leading experts and researchers to explore the cutting-edge advancements, applications, and implications of generative AI technologies. This volume provides an in-depth exploration of generative AI, which encompasses a range of techniques such as generative adversarial networks, recurrent neural networks, and transformer models like GPT-3. It examines how these technologies enable machines to generate content, including text, images, and audio, that closely mimics human creativity and intelligence. Readers will gain valuable insights into the fundamentals of generative AI, innovative applications, ethical and social considerations, interdisciplinary insights, and future directions of this invaluable emerging technology. Generative AI: Disruptive Technologies for Innovative Applications is an indispensable resource for researchers, practitioners, and anyone interested in the transformative potential of generative AI in revolutionizing industries, unleashing creativity, and pushing the boundaries of what's possible in artificial intelligence. Audience AI researchers, industry professionals, data scientists, machine learning experts, students, policymakers, and entrepreneurs interested in the innovative field of generative AI.

Disruptive Technologies for Innovative Applications

Generative AI

Information Visualization for Intelligent Systems provides readers with essential insights into cutting-edge advancements in machine intelligence and explores how these transformative technologies are revolutionizing data analysis and decision-making in an increasingly complex world. The book explores advanced computing, or machine intelligence, which enables technology-machines, devices, or algorithms-to interact intelligently with their surroundings, make decisions, and take actions to achieve objectives. Unlike natural human intelligence, artificial intelligence (AI) is demonstrated by machines. Modern advancements in high-speed computing drive paradigm shifts, enabling complex machine intelligence systems and novel cyber systems that utilize data to perform specific tasks. While standalone cyber systems are common, integrating multiple systems into cohesive, intelligent structures interacting deeply with physical systems remains underexplored and primarily philosophical in existing literature. These technological breakthroughs have revolutionized data generation, cloud storage, global information exchange, and rapid computing. For example, machine intelligence models analyze video surveillance to identify threats, support early infection detection in healthcare, and enhance chemical industry processes. While promising, these advancements remain in their infancy, offering significant potential for further development.

Information Visualization for Intelligent Systems

Principles of Multimedia introduces and explains the theoretical concepts related to the representation, storage, compression, transmission and processing of various multimedia components, including text, image, graphics, audio, video and animation, as well as their use across various applications.

Principles of Multimedia introduces and explains the theoretical concepts related to the representation, storage, compression, transmission and processing of various multimedia components, including text, image, graphics, audio, video and animation, as well as their use across various applications. The book provides the necessary programming tools and analysis techniques concepts to perform practical processing tasks in software labs and to solve numerical problems at the post-graduate level. For this new third edition, every chapter has been updated and the book has been carefully streamlined throughout.Chapter 1 provides an overview of multimedia technology, including the definition, major characteristics, hardware, software, standards, technologies and relevant theorems with mathematical formulations. Chapter 2 covers text, including digital text representations, text editing and processing tools, text application areas and text file formats. Chapters 3 and 4 examine image and graphics, including digital image input and output systems, image editing and processing tools, image application areas, image color management and image file formats, as well as 2D and 3D graphics algorithms, transformations matrices, splines, fractals, vectors, projection, application areas and graphics file formats. Chapter 5 covers audio, including digital audio input and output systems, audio editing and processing tools, audio application areas and audio file formats. Chapter 6 looks at video, including digital video input and output systems, video editing and processing tools, video application areas and video file formats. Chapter 7 focuses on animation, covering 2D and 3D animation algorithms, interpolations, modeling, texture mapping, lights, illumination models, camera, rendering, application areas and animation file formats. Finally, chapter 8 covers compression, including lossless and lossy compression techniques, and various algorithms related to text image audio and video compression. Every chapter includes solved numerical problems, coding examples and references for further reading.Including theoretical explanations, mathematical formulations, solved numerical problems and coding examples throughout, Principles of Multimedia is an ideal textbook for graduate and post-graduate students studying courses on image processing, speech and language processing, signal processing, video object detection and tracking, graphic design and modeling, and related multimedia technologies

Principles of Multimedia

This book is a blend of practical knowledge, inspiring narratives, and interactive elements. It strikes a balance between providing a solid foundation in data storytelling principles and offering actionable steps for readers to implement in their own work.

Harnessing the Power of Data Visualization

From Numbers to Narratives that Transform Businesses

Internet of Everything IoE

This book discusses the Internet of Things (IoT) and Data Analytics from a technical, application, and business point of view. It describes essential technical knowledge, building blocks, processes, design principles, and implementation of big data tools and machine learning techniques and applications for IoT projects.

Tools and Applications

Big Data, IoT, and Machine Learning

A fascinating data adventure through the lens of macroscopes, which offer us illuminating and holistic views of our ever-changing world. In Atlas of Macroscopes, Katy Börner, Elizabeth Record, and Todd Theriault take you on an epic data adventure. You will explore data landscapes, designed as uniquely interactive spaces, and learn more about our world and your place in it. You will gain new perspectives on how to gather, understand, and communicate data, as well as how to best use it. You will discover what it means to “touch” data that informs and inspires. Transcending the static nature of the maps featured in the initial trilogy, this fourth Atlas showcases 40 real-life macroscopes, or interactive data visualizations, that were displayed in the first decade (2015–2024) of the traveling exhibit Places &amp; Spaces: Mapping Science. Encompassing vast amounts of data, macroscopes give us holistic views of complex systems or networks. They provide an entry point for scientists and laypeople alike, and empower us to engage directly with large datasets and to conduct our own lines of questioning. As interactive tools, macroscopes connect data creators and users. As portals to continuously evolving data, macroscopes can serve as windows to the dynamics of any terrain—personal or professional, local or global—and offer key insights into our surroundings and even our place in the universe. While big data is creating new ways to view and understand information, macroscopes help us see the big picture as we seek to better navigate our ever-changing world.

A fascinating data adventure through the lens of macroscopes, which offer us illuminating and holistic views of our ever-changing world. In Atlas of Macroscopes, Katy Börner, Elizabeth Record, and Todd Theriault take you on an epic data adventure. You will explore data landscapes, designed as uniquely interactive spaces, and learn more about our world and your place in it. You will gain new perspectives on how to gather, understand, and communicate data, as well as how to best use it. You will discover what it means to “touch” data that informs and inspires. Transcending the static nature of the maps featured in the initial trilogy, this fourth Atlas showcases 40 real-life macroscopes, or interactive data visualizations, that were displayed in the first decade (2015–2024) of the traveling exhibit Places &amp; Spaces: Mapping Science. Encompassing vast amounts of data, macroscopes give us holistic views of complex systems or networks. They provide an entry point for scientists and laypeople alike, and empower us to engage directly with large datasets and to conduct our own lines of questioning. As interactive tools, macroscopes connect data creators and users. As portals to continuously evolving data, macroscopes can serve as windows to the dynamics of any terrain—personal or professional, local or global—and offer key insights into our surroundings and even our place in the universe. While big data is creating new ways to view and understand information, macroscopes help us see the big picture as we seek to better navigate our ever-changing world.

Interactive Data Visualizations

Atlas of Macroscopes

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Learn to build a web app that can monitor millions of posts across all social media platforms to chart public opinion in real time. Social media has become our modern-day agora, the place where we get our news and engage in political discourse. With disinformation, hate speech, foreign interference, authoritarianism, market monopolization, and political polarization all on the rise, monitoring social media in the public interest has never been so difficult nor so urgent. Social Media Observatory is an in-depth beginner’s guide to coding full-stack web applications in Python to track and analyze social media activity at scale, giving you unparalleled insights into the cultural and political conversations of our time, then empowering you to reach your own conclusions. You’ll start by coding a web app to monitor Russian disinformation channels discussing Ukraine on Telegram, then learn more adversarial methods to scrape the Wayback Machine, Instagram, and TikTok. You’ll detect Twitter bots following Saudi influencers, extract text-embedded URLs to reveal a white supremacist blogosphere, parse archived tweets to reveal the discourse leading up to the January 6 insurrection, and learn to circumvent Meta's and ByteDance's defenses to scrape Instagram and TikTok, collecting evidence of war crimes in the Middle East. Finally, you’ll write an API and deploy your observatory to a cloud server to collaborate with other investigators. By the end of the book, you’ll have a working website that allows collaborators to log in, request data collection, and perform analysis of collected data, via a point-and-click interface.&nbsp; Along the way, you’ll learn to: <ul><li>Use Python and RabbitMQ to retrieve Telegram data from a remote API</li><li>Store data with PostgreSQL and query it with SQLAlchemy</li><li>Analyze the data you’ve retrieved with Pandas, NetworkX, Gephi, and other tools</li><li>Use state-of-the-art AI tools to transcribe audio and classify text</li><li>Deploy a website with an interactive dashboard using FastAPI, Dash, Cytoscape, Uvicorn, Gunicorn, Nginx, AWS, and Let’s Encrypt</li><li>Containerize your apps with Docker and provision infrastructure with Pulumi</li></ul> Whether you’re a citizen scientist, a security researcher, a journalist, an activist, or a scholar, Social Media Observatory is an essential blueprint for building your window into online worlds.

Social Media Observatory

AK Peters Visualization Series

The book explores real-world datasets, uncovering hidden patterns and gaining insights along the way. The book is filled with illustrations using practical examples, Python codes, and different types of exercises designed to reinforce the concepts and processes discussed.

Descriptive Analysis, Visualization, and Dashboard Design (with codes in Python)

Exploratory Data Analysis

Visual Intelligence

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Bibliografische Angaben

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