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  • Generative AI Essentials : Unlocking creativity and innovation with generative AI
    Generative AI Essentials : Unlocking creativity and innovation with generative AI


    Price: 31.50 £ | Shipping*: 0.00 £
  • Research Methods in Generative Second Language Acquisition
    Research Methods in Generative Second Language Acquisition

    This timely text provides a comprehensive overview of the research methods used by the Generative Second Language Acquisition framework. The authors lay out the history and state of the art in the field, explain the theoretical underpinnings of this work, and offer practical hands-on guidance for developing, conducting and understanding studies related to L2 grammatical competence—using a rich array of techniques and advancing key insights into the rationale and circumstantial pros and cons of each method. With useful features in a consistent chapter structure, including diverse case studies and discussion questions, the book will be an invaluable resource to students and researchers of SLA, applied linguistics, theoretical linguistics, education, and related areas.

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  • Generative AI in Higher Education : The ChatGPT Effect
    Generative AI in Higher Education : The ChatGPT Effect

    Chan and Colloton’s book is one of the first to provide a comprehensive examination of the use and impact of ChatGPT and Generative AI (GenAI) in higher education. Since November 2022, every conversation in higher education has involved ChatGPT and its impact on all aspects of teaching and learning.The book explores the necessity of AI literacy tailored to professional contexts, assess the strengths and weaknesses of incorporating ChatGPT in curriculum design, and delve into the transformation of assessment methods in the GenAI era.The authors introduce the Six Assessment Redesign Pivotal Strategies (SARPS) and an AI Assessment Integration Framework, encouraging a learner-centric assessment model.The necessity for well-crafted AI educational policies is explored, as well as a blueprint for policy formulation in academic institutions.Technical enthusiasts are catered to with a deep dive into the mechanics behind GenAI, from the history of neural networks to the latest advances and applications of GenAI technologies. With an eye on the future of AI in education, this book will appeal to educators, students and scholars interested in the wider societal implications and the transformative role of GenAI in pedagogy and research. The Open Access version of this book, available at www.taylorfrancis.com, has been made available under a Creative Commons Attribution-Non Commercial-No Derivatives (CC-BY-NC-ND) 4.0 license.

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  • Generative AI for Beginners Future of Innovation Unlocked Alpha Academy Code
    Generative AI for Beginners Future of Innovation Unlocked Alpha Academy Code

    Generative AI for Beginners Future of Innovation Unlocked Unlock the future with Generative AI for Beginners: Future of Innovation Unlocked. This comprehensive bundle is your gateway to understanding and leveraging the transformative power of generative AI. Designed for those new to the field, it delivers clear, well-instructed lessons that simplify complex concepts and empower you to harness cutting-edge AI technology effectively. Course included Generative AI for Beginners Future of Innovat...

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  • How do you distinguish between vegetative and generative propagation of plants?

    Vegetative propagation involves the reproduction of plants from non-reproductive plant parts, such as stems, leaves, or roots. This method produces new plants that are genetically identical to the parent plant. Generative propagation, on the other hand, involves the reproduction of plants through seeds or spores, which are produced by the reproductive organs of the plant. This method results in new plants that may have genetic variation due to the combination of genetic material from two parent plants. In summary, vegetative propagation produces genetically identical offspring, while generative propagation produces genetically diverse offspring.

  • What experiences have you had with the new generative AI fill tool in Photoshop?

    As an AI, I don't have personal experiences, but I can tell you that the new generative AI fill tool in Photoshop has been well-received by many users. It has been praised for its ability to quickly and accurately fill in missing or damaged areas of an image, saving users time and effort. The tool's ability to understand the context of the image and generate realistic content has been particularly impressive to many users. Overall, the new generative AI fill tool in Photoshop seems to have made a positive impact on the editing process for many users.

  • Does market research hinder innovation in business administration?

    Market research does not necessarily hinder innovation in business administration. In fact, it can provide valuable insights into consumer needs and preferences, helping businesses to develop innovative products and services that meet market demands. By understanding market trends and customer behavior, businesses can identify opportunities for innovation and stay ahead of competitors. However, relying too heavily on market research without allowing room for creativity and risk-taking can limit the potential for groundbreaking innovations. It is important for businesses to strike a balance between leveraging market research and fostering a culture of innovation to drive success in business administration.

  • What else can be learned besides programming and networking technology?

    Besides programming and networking technology, individuals can also learn important skills such as problem-solving, critical thinking, communication, and teamwork. These skills are essential in any professional setting and can help individuals succeed in their careers. Additionally, individuals can also learn about cybersecurity, data analysis, cloud computing, and other emerging technologies to stay competitive in the ever-evolving tech industry. Continuous learning and development in these areas can open up new opportunities and help individuals advance in their careers.

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  • Deep Generative Modeling
    Deep Generative Modeling

    This textbook tackles the problem of formulating AI systems by combining probabilistic modeling and deep learning.Moreover, it goes beyond typical predictive modeling and brings together supervised learning and unsupervised learning.The resulting paradigm, called deep generative modeling, utilizes the generative perspective on perceiving the surrounding world.It assumes that each phenomenon is driven by an underlying generative process that defines a joint distribution over random variables and their stochastic interactions, i.e., how events occur and in what order.The adjective "deep" comes from the fact that the distribution is parameterized using deep neural networks.There are two distinct traits of deep generative modeling.First, the application of deep neural networks allows rich and flexible parameterization of distributions.Second, the principled manner of modeling stochastic dependencies using probability theory ensures rigorous formulation and prevents potential flaws in reasoning.Moreover, probability theory provides a unified framework where the likelihood function plays a crucial role in quantifying uncertainty and defining objective functions. Deep Generative Modeling is designed to appeal to curious students, engineers, and researchers with a modest mathematical background in undergraduate calculus, linear algebra, probability theory, and the basics in machine learning, deep learning, and programming in Python and PyTorch (or other deep learning libraries).It will appeal to students and researchers from a variety of backgrounds, including computer science, engineering, data science, physics, and bioinformatics, who wish to become familiar with deep generative modeling.To engage the reader, the book introduces fundamental concepts with specific examples and code snippets.The full code accompanying the book is available on github. The ultimate aim of the book is to outline the most important techniques in deep generative modeling and, eventually, enable readers to formulate new models and implement them.

    Price: 59.99 £ | Shipping*: 0.00 £
  • Convivial Toolbox : Generative Research for the Front End of Design
    Convivial Toolbox : Generative Research for the Front End of Design

    Generative design research is an approach to bring the people we serve through design directly into the design process in order to ensure that we can meet their needs and dreams for the future.The book introduces an emerging domain of design that is of immense interest today not only to the academic design research community but also to those in the business community charged with the development of human-centred products, systems, services, and environments.There are no other books with this focus and coverage currently available.

    Price: 35.00 £ | Shipping*: 0.00 £
  • Syntax : A Generative Introduction
    Syntax : A Generative Introduction

    The extensively updated fourth edition of the leading introductory textbook on theoretical syntax, including an all-new chapter and additional problem sets Now in its fourth edition, Andrew Carnie's Syntax: A Generative Introduction remains the leading introduction to the rules, principles, and processes that determine the structure of sentences in language.Comprehensive yet accessible, the text provides a well-balanced, student-friendly introduction to syntactic theory.Topics include phrase structure, the lexicon, binding theory, case theory, movement, covert movement, locality conditions, ditransitives, verbal inflection and auxiliaries, ellipsis, control theory, non-configurational languages, and more.Students are provided with numerous exercises and pedagogical features designed to strengthen comprehension, review learning objectives, test knowledge, and highlight major issues in the field. The fourth edition features revised material throughout, including a new section on Chomsky's Merge and additional problem sets in every chapter, while new examples throughout the text broaden the appeal and relatability of the text to a more diverse set of students.The optional The Syntax Workbook: A Companion to Carnie's Syntax has also been thoroughly revised and expanded to offer students the opportunity to practice the skills and concepts introduced in the primary text.This classic textbook: Presents authoritative and comprehensive coverage of basic, intermediate, and advanced topicsIncludes ample exercises and clear explanations using straightforward languageOffers extensive online student and instructor resources, including problem sets, PowerPoint slides, an updated instructor's manual, author-created videos, online-only chapters, and other supplementary materialFeatures a wealth of learning tools, including learning objectives, discussion questions, and problems of varying levels of difficulty In the new fourth edition, Syntax: A Generative Introduction remains an essential textbook for beginning syntacticians, perfect for undergraduate and graduate course in linguistics, grammar, language, and second language teaching. Available as a set with The Syntax Workbook: A Companion to Carnie's Syntax, 2nd Edition

    Price: 41.95 £ | Shipping*: 0.00 £
  • Generative AI For Dummies
    Generative AI For Dummies

    Generate a personal assistant with generative AI Generative AI tools capable of creating text, images, and even ideas seemingly out of thin air have exploded in popularity and sophistication.This valuable technology can assist in authoring short and long-form content, producing audio and video, serving as a research assistant, and tons of other professional and personal tasks.Generative AI For Dummies is your roadmap to using the world of artificial intelligence to enhance your personal and professional lives.You'll learn how to identify the best platforms for your needs and write the prompts that coax out the content you want.Written by the best-selling author of ChatGPT For Dummies, this book is the ideal place to start when you're ready to fully dive into the world of generative AI.Discover the best generative AI tools and learn how to use them for writing, designing, and beyondWrite strong AI prompts so you can generate valuable output and save time Create AI-generated audio, video, and imageryIncorporate AI into your everyday tasks for enhanced productivity This book offers an easy-to-follow overview of the capabilities of generative AI and how to incorporate them into any job.It's perfect for anyone who wants to add AI know-how into their work.

    Price: 22.99 £ | Shipping*: 3.99 £
  • Are there any advancements or research in refrigeration technology?

    Yes, there have been significant advancements and research in refrigeration technology in recent years. Some of the key areas of focus include improving energy efficiency, reducing environmental impact, and developing alternative refrigerants with lower global warming potential. Researchers are also exploring the use of advanced materials and technologies, such as magnetic refrigeration and thermoelectric cooling, to enhance the performance of refrigeration systems. Additionally, there is ongoing research into the integration of refrigeration systems with renewable energy sources to further reduce their carbon footprint. Overall, these advancements aim to make refrigeration technology more sustainable and environmentally friendly.

  • What is C networking?

    C networking refers to the use of the C programming language to develop networking applications. C is a powerful and efficient language that allows developers to create low-level network programming code for tasks such as socket programming, data transmission, and network protocol implementation. C networking is commonly used in the development of network servers, clients, and other network-related applications due to its speed and flexibility in handling network communication. By using C for networking, developers have fine-grained control over network operations and can optimize performance for specific networking tasks.

  • What does innovation mean exactly?

    Innovation refers to the process of creating new ideas, products, or methods that bring about positive change or improvement. It involves thinking outside the box, taking risks, and challenging the status quo to develop something that is novel and valuable. Innovation can occur in various fields, such as technology, business, science, and the arts, and it often leads to advancements that benefit society as a whole. Overall, innovation is about pushing boundaries and finding creative solutions to address existing challenges or meet new needs.

  • What exactly does innovation mean?

    Innovation refers to the process of creating new ideas, products, or methods that bring about positive change or improvement. It involves thinking outside the box, taking risks, and challenging the status quo to develop something unique and valuable. Innovation can occur in various fields such as technology, business, science, and art, and is essential for driving progress and growth in society.

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