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  • Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence
    Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence

    Visualization Techniques for Climate Change with Machine Learning and Artificial Intelligence covers computer-aided artificial intelligence and machine learning technologies as related to the impacts of climate change and its potential to prevent/remediate the effects.As such, different types of algorithms, mathematical relations and software models may help us to understand our current reality, predict future weather events and create new products and services to minimize human impact, chances of improving and saving lives and creating a healthier world. This book covers different types of tools for the prediction of climate change and alternative systems which can reduce the levels of threats observed by climate change scientists.Moreover, the book will help to achieve at least one of 17 sustainable development goals i.e., climate action.

    Price: 127.00 £ | Shipping*: 0.00 £
  • Engineering Design Graphics : Sketching, Modeling, and Visualization
    Engineering Design Graphics : Sketching, Modeling, and Visualization

    The most accessible and practical roadmap to visualizing engineering projects In the newly revised Third Edition of Engineering Design Graphics: Sketching, Modeling, and Visualization, renowned engineering graphics expert James Leake delivers an intuitive and accessible guide to bringing engineering concepts and projects to visual life.Including updated coverage of everything from freehand sketching to solid modeling in CAD, the author comprehensively discusses the tools and skills you'll need to sketch, draw, model, document, design, manufacture, or simulate a project.

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  • Machine Learning: Concepts, Tools And Data Visualization
    Machine Learning: Concepts, Tools And Data Visualization

    This set of lecture notes, written for those who are unfamiliar with mathematics and programming, introduces the reader to important concepts in the field of machine learning.It consists of three parts. The first is an overview of the history of artificial intelligence, machine learning, and data science, and also includes case studies of well-known AI systems.The second is a step-by-step introduction to Azure Machine Learning, with examples provided.The third is an explanation of the techniques and methods used in data visualization with R, which can be used to communicate the results collected by the AI systems when they are analyzed statistically.Practice questions are provided throughout the book.

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  • Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation
    Learn Autonomous Programming with Python : Utilize Python’s capabilities in artificial intelligence, machine learning, deep learning and robotic process automation


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  • Which programming language is used for robotics and artificial intelligence?

    Python is commonly used for robotics and artificial intelligence due to its simplicity, readability, and extensive libraries for machine learning and robotics. It is also known for its flexibility and ease of integration with hardware, making it a popular choice for developing robotics and AI applications. Additionally, Python's strong community support and active development make it a suitable language for these rapidly evolving fields.

  • How can the learning of visualization be described?

    The learning of visualization can be described as the process of developing the ability to create mental images or representations of information, concepts, or ideas. This involves using the mind's eye to picture and manipulate images, patterns, and spatial relationships. Visualization can be learned through practice and training, and it can be a valuable tool for improving memory, problem-solving, and creativity. It often involves techniques such as guided imagery, mental rehearsal, and mindfulness practices to enhance the ability to visualize.

  • How can one describe the process of learning visualization?

    Learning visualization involves understanding the principles of design, such as color theory, typography, and layout. It also requires practicing with different tools and software to create visual representations of data or concepts. Additionally, learning visualization involves analyzing and critiquing existing visualizations to understand what makes them effective or ineffective. It is a continuous process of experimentation, learning from mistakes, and refining one's skills to effectively communicate information visually.

  • How does one practice visualization?

    To practice visualization, find a quiet and comfortable space where you won't be disturbed. Close your eyes and take deep breaths to relax your mind and body. Then, imagine a specific scenario or goal in vivid detail, using all your senses to make it as real as possible. Repeat this practice regularly to strengthen your ability to visualize and manifest your desires.

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  • Food Engineering Automation with Robotics and AI
    Food Engineering Automation with Robotics and AI


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  • Artificial Intelligence and Learning Futures : Critical Narratives of Technology and Imagination in Higher Education
    Artificial Intelligence and Learning Futures : Critical Narratives of Technology and Imagination in Higher Education

    Artificial Intelligence and Learning Futures: Critical Narratives of Technology and Imagination in Higher Education explores the implications of artificial intelligence’s adoption in higher education and the challenges to building sustainable instead of dystopic schooling.As AI becomes integral to both pedagogy and profitability in today’s colleges and universities, a critical discourse on these systems and algorithms is urgently needed to push back against their potential to enable surveillance, control, and oppression.This book examines the development, risks, and opportunities inherent to AI in education and curriculum design, the problematic ideological assumptions of intelligence and technology, and the evidence base and ethical imagination required to responsibly implement these learning technologies in a way that ensures quality and sustainability.Leaders, administrators, and faculty as well as technologists and designers will find these provocative and accessible ideas profoundly applicable to their research, decision-making, and concerns.

    Price: 36.99 £ | Shipping*: 0.00 £
  • Mobile Data Visualization
    Mobile Data Visualization

    Mobile Data Visualization is about facilitating access to and understanding of data on mobile devices.Wearable trackers, mobile phones, and tablets are used by millions of people each day to read weather maps, financial charts, or personal health meters.What is required to create e­ffective visualizations for mobile devices?This book introduces key concepts of mobile data visualization and discusses opportunities and challenges from both research and practical perspectives. Mobile Data Visualization is the first book to provide an overview of how to e­ffectively visualize, analyze, and communicate data on mobile devices.Drawing from the expertise, research, and experience of an international range of academics and practitioners from across the domains of Visualization, Human Computer Interaction, and Ubiquitous Computing, the book explores the challenges of mobile visualization and explains how it diff­ers from traditional data visualization.It highlights opportunities for reaching new audiences with engaging, interactive, and compelling mobile content. In nine chapters, this book presents interesting perspectives on mobile data visualization including: how to characterize and classify mobile visualizations; how to interact with them while on the go and with limited attention spans; how to adapt them to various mobile contexts; specific methods on how to design and evaluate them; reflections on privacy, ethical and other challenges, as well as an outlook to a future of ubiquitous visualization.This accessible book is a valuable and rich resource for visualization designers, practitioners, researchers, and students alike.

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  • The Data Visualization Sketchbook
    The Data Visualization Sketchbook

    Bestselling author Stephanie D.H. Evergreen shows how sketching helps realize mistakes and find solutions quickly and provides space to think through, not just an individual graphic, but how several graphics could fit together in a composition, creating drafts for infographics and dashboards.

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  • What is spatial visualization ability?

    Spatial visualization ability refers to the capacity to mentally manipulate and comprehend spatial relationships between objects. Individuals with strong spatial visualization skills can easily visualize and understand how objects relate to each other in space, such as rotating or manipulating shapes in their mind. This ability is crucial in various fields such as engineering, architecture, and mathematics, as it allows individuals to solve complex problems and understand spatial concepts more effectively. Improving spatial visualization ability can enhance problem-solving skills and overall cognitive performance.

  • What is a 3D visualization?

    A 3D visualization is a graphical representation of data or objects in three dimensions. It allows viewers to see an object or scene from different angles, providing a more realistic and immersive experience compared to traditional 2D images. 3D visualizations are commonly used in various fields such as architecture, engineering, medicine, and entertainment to help convey complex information in a more understandable and engaging way.

  • Is spatial visualization important for engineers?

    Yes, spatial visualization is important for engineers as it allows them to mentally manipulate and understand complex 3D objects and structures. Engineers often need to design and analyze various components and systems, and spatial visualization skills help them to conceptualize and communicate their ideas effectively. Whether it's designing a new product, creating blueprints for a building, or solving complex problems, spatial visualization is a crucial skill that allows engineers to think critically and innovate in their field.

  • Is poor visualization typical of autism?

    Poor visualization is not typical of autism. In fact, individuals with autism may have strengths in visual thinking and processing, such as a strong attention to detail and the ability to think in pictures. However, some individuals with autism may struggle with certain aspects of visual processing, such as difficulties with facial recognition or interpreting nonverbal cues. It's important to recognize that autism is a spectrum disorder, and individuals with autism may have a wide range of strengths and challenges in various areas, including visual processing.

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