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  • Rusty the Trustworthy Pony
    Rusty the Trustworthy Pony

    Tilly dreams of having a pony of her own. One that only she can ride to stardom. Will her wishes come true when she joins Silver Shoe Farm Stables?Tilly witnesses the beginning of a lifelong bond between a young autistic boy, Edward, and a sweet pony called Rusty. To have a good friend, you need to be a good friend. Collect all 18 titles in this series of irresistible, uplifting and heartwarming pony adventures.Printed in a dyslexia friendly font and packed with up to date tips from three times Olympic Medallist, Pippa Funnell, as well as a helpful glossary and black and white illustrations on every spread.

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  • Mylee All That Glitters in Trustworthy
    Mylee All That Glitters in Trustworthy

    Mylee All That Glitters In Trustworthy. Deep sea blue holographic glitter. Cures under UV or LED. Free UK Standard Delivery on orders over £25!

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    theBalm Meet Matt(e) Liquid Lipstick Trustworthy

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  • Toward Trustworthy Adaptive Learning : Explainable Learner Models
    Toward Trustworthy Adaptive Learning : Explainable Learner Models

    This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI.It aims to provide readers with a comprehensive understanding of how these models can enhance adaptive learning systems. Chapters cover a wide range of topics, including the development and optimization of explainable learner models, the integration of these models into adaptive learning systems, and their implications for educational equity.It also discusses the latest advancements in AI explainability techniques, such as pre-hoc and post-hoc explainability, and their application in intelligent tutoring systems.Lastly, the book provides practical examples and case studies to illustrate how explainable learner models can be implemented in real-world educational settings. This book is an essential resource for researchers, educators, and practitioners interested in the intersection of AI and education.It offers valuable insights for those looking to integrate explainable AI into their educational practices, as well as for policymakers focused on promoting equitable and transparent learning environments.

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  • What goes on top of Indian bread Naan?

    Naan is typically topped with a variety of ingredients such as garlic, butter, or herbs like cilantro. Some popular toppings include garlic naan, butter naan, or garlic butter naan. These toppings add flavor and enhance the overall taste of the bread, making it a delicious accompaniment to Indian dishes.

  • Which cheese is used for Indian Cheese Naan?

    Paneer is the cheese typically used for Indian Cheese Naan. Paneer is a fresh cheese common in Indian cuisine, made by curdling heated milk with lemon juice, vinegar, or other food acids. It has a mild and slightly tangy flavor, making it a popular choice for stuffing inside Naan bread.

  • How spicy is Indian curry?

    Indian curry can vary in spiciness depending on the recipe and the region it comes from. Some curries can be very spicy, while others are more mild. The level of spiciness is often determined by the types and amounts of chili peppers and other spices used in the dish. It's always a good idea to ask about the spiciness level when ordering Indian curry, especially if you have a low tolerance for heat.

  • What goes on top of the Indian bread Naan?

    Naan can be topped with a variety of ingredients, such as garlic, butter, or herbs like cilantro. It can also be used as a base for toppings like cheese, vegetables, or meats to make dishes like naan pizza or naan sandwiches. Additionally, naan can be served with dips like hummus, chutney, or yogurt for added flavor. Overall, the toppings for naan can be versatile and can be customized to suit different preferences and dishes.

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  • Toward Trustworthy Adaptive Learning : Explainable Learner Models
    Toward Trustworthy Adaptive Learning : Explainable Learner Models

    This book offers an in-depth exploration of explainable learner models, presenting theoretical foundations and practical applications in the context of educational AI.It aims to provide readers with a comprehensive understanding of how these models can enhance adaptive learning systems. Chapters cover a wide range of topics, including the development and optimization of explainable learner models, the integration of these models into adaptive learning systems, and their implications for educational equity.It also discusses the latest advancements in AI explainability techniques, such as pre-hoc and post-hoc explainability, and their application in intelligent tutoring systems.Lastly, the book provides practical examples and case studies to illustrate how explainable learner models can be implemented in real-world educational settings. This book is an essential resource for researchers, educators, and practitioners interested in the intersection of AI and education.It offers valuable insights for those looking to integrate explainable AI into their educational practices, as well as for policymakers focused on promoting equitable and transparent learning environments.

    Price: 135.00 £ | Shipping*: 0.00 £
  • NKJV, Economy Bible, Paperback : Beautiful. Trustworthy. Today
    NKJV, Economy Bible, Paperback : Beautiful. Trustworthy. Today

    The full NKJV text with added features is a great value for a new Christian or someone interested in learning more about God. With more than 7.5 million NKJV Outreach Bibles distributed, this best-selling low-cost Bible with extra helps is perfect for churches and ministries looking to distribute God’s Word through their outreach events. Features Include:Plan of Salvation section clearly presents the grand narrative of the Bible pointing to Christ’s sacrifice on the cross for salvation30 Days with Jesus Reading Plan provides an easy guide to begin reading the Bible by using brief passages from Jesus’ lifeClear and readable 6.7-point PrintNKJV sectional headings for a brief description of the text about to be read

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  • Transformative AI : Responsible, Transparent, and Trustworthy AI systems
    Transformative AI : Responsible, Transparent, and Trustworthy AI systems

    Transformative Artificial Intelligence provides a comprehensive overview of the latest trends, challenges, applications, and opportunities in the field of Artificial Intelligence.The book covers the state of the art in AI research, including machine learning, natural language processing, computer vision, and robotics, and explores how these technologies are transforming various industries and domains, such as healthcare, finance, education, and entertainment. The book also addresses the challenges that come with the widespread adoption of AI, including ethical concerns, bias, and the impact on jobs and society.It provides insights into how to mitigate these challenges and how to design AI systems that are responsible, transparent, and trustworthy. The book offers a forward-looking perspective on the future of AI, exploring the emerging trends and applications that are likely to shape the next decade of AI innovation.It also provides practical guidance for businesses and individuals on how to leverage the power of AI to create new products, services, and opportunities. Overall, the book is an essential read for anyone who wants to stay ahead of the curve in the rapidly evolving field of Artificial Intelligence and understand the impact that this transformative technology will have on our lives in the coming years.

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  • Human and Machine Learning : Visible, Explainable, Trustworthy and Transparent
    Human and Machine Learning : Visible, Explainable, Trustworthy and Transparent

    With an evolutionary advancement of Machine Learning (ML) algorithms, a rapid increase of data volumes and a significant improvement of computation powers, machine learning becomes hot in different applications.However, because of the nature of “black-box” in ML methods, ML still needs to be interpreted to link human and machine learning for transparency and user acceptance of delivered solutions.This edited book addresses such links from the perspectives of visualisation, explanation, trustworthiness and transparency.The book establishes the link between human and machine learning by exploring transparency in machine learning, visual explanation of ML processes, algorithmic explanation of ML models, human cognitive responses in ML-based decision making, human evaluation of machine learning and domain knowledge in transparent ML applications. This is the first book of its kind to systematically understand the current active research activities and outcomes related to human and machine learning.The book will not only inspire researchers to passionately develop new algorithms incorporating human for human-centred ML algorithms, resulting in the overall advancement of ML, but also help ML practitioners proactively use ML outputs for informative and trustworthy decision making. This book is intended for researchers and practitioners involved with machine learning and its applications.The book will especially benefit researchers in areas like artificial intelligence, decision support systems and human-computer interaction.

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