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  • Little Boxes - Learning: Learning
    Little Boxes - Learning: Learning

    Little Boxes - Learning: Learning

    Price: 12.34 € | Shipping*: 0.00 €
  • Christmas Stationery Gift Kit Children's Learning Supplies Six Piece Student Writing Tools Kid
    Christmas Stationery Gift Kit Children's Learning Supplies Six Piece Student Writing Tools Kid

    Christmas Stationery Gift Kit Children's Learning Supplies Six Piece Student Writing Tools Kid

    Price: 1.00 € | Shipping*: 1.99 €
  • 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.

    Price: 45.00 £ | Shipping*: 0.00 £
  • Dive Into Deep Learning : Tools for Engagement
    Dive Into Deep Learning : Tools for Engagement

    The leading experts in system change and learning, with their school-based partners around the world, have created this essential companion to their runaway best-seller, Deep Learning: Engage the World Change the World.This hands-on guide provides a roadmap for building capacity in teachers, schools, districts, and systems to design deep learning, measure progress, and assess conditions needed to activate and sustain innovation. Dive Into Deep Learning: Tools for Engagement is rich with resources educators need to construct and drive meaningful deep learning experiences in order to develop the kind of mindset and know-how that is crucial to becoming a problem-solving change agent in our global society.Designed in full color, this easy-to-use guide is loaded with tools, tips, protocols, and real-world examples.It includes: • A framework for deep learning that provides a pathway to develop the six global competencies needed to flourish in a complex world — character, citizenship, collaboration, communication, creativity, and critical thinking. • Learning progressions to help educators analyze student work and measure progress. • Learning design rubrics, templates and examples for incorporating the four elements of learning design: learning partnerships, pedagogical practices, learning environments, and leveraging digital. • Conditions rubrics, teacher self-assessment tools, and planning guides to help educators build, mobilize, and sustain deep learning in schools and districts. Learn about, improve, and expand your world of learning.Put the joy back into learning for students and adults alike.Dive into deep learning to create learning experiences that give purpose, unleash student potential, and transform not only learning, but life itself.

    Price: 33.99 £ | Shipping*: 0.00 £
  • What apps and similar tools are available for learning Korean?

    There are several apps and tools available for learning Korean, such as Duolingo, Rosetta Stone, and Memrise, which offer interactive lessons and exercises to help users learn vocabulary, grammar, and pronunciation. Additionally, the Korean language learning app, LingoDeer, is specifically designed to teach Korean in a structured and comprehensive manner. For practicing speaking and listening skills, the app HelloTalk allows users to connect with native Korean speakers for language exchange. Lastly, online platforms like Talk To Me In Korean and Howtostudykorean.com offer free resources, including lessons, podcasts, and study materials for learners of all levels.

  • Why deep learning compared to machine learning?

    Deep learning is a subset of machine learning that uses neural networks to learn from data. It is more powerful than traditional machine learning techniques because it can automatically discover and learn from complex patterns and features in the data without the need for explicit feature engineering. Deep learning can handle large amounts of data and is capable of learning from unstructured data such as images, audio, and text, making it more versatile and effective for a wide range of applications. Additionally, deep learning models can continuously improve their performance with more data, making them more adaptable and scalable compared to traditional machine learning models.

  • Is distance learning as recognized as traditional learning?

    Distance learning is becoming increasingly recognized and accepted as a legitimate form of education, especially with the advancements in technology and the widespread availability of online courses. However, traditional learning still holds a higher level of recognition and credibility in many circles, such as certain industries or academic institutions. Ultimately, the recognition of distance learning versus traditional learning can vary depending on the context and the perceptions of individuals or organizations.

  • Is distance learning worse than on-campus learning?

    The effectiveness of distance learning versus on-campus learning depends on individual preferences, learning styles, and the specific course or program. Distance learning can offer flexibility and convenience for those with busy schedules or other commitments, while on-campus learning may provide more opportunities for in-person interaction and hands-on experiences. Both modalities have their own set of advantages and disadvantages, and the quality of the learning experience ultimately depends on the resources, support, and engagement available to the student in either setting.

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  • Applied Deep Learning : Tools, Techniques, and Implementation
    Applied Deep Learning : Tools, Techniques, and Implementation

    This book focuses on the applied aspects of artificial intelligence using enterprise frameworks and technologies.The book is applied in nature and will equip the reader with the necessary skills and understanding for delivering enterprise ML technologies.It will be valuable for undergraduate and postgraduate students in subjects such as artificial intelligence and data science, and also for industrial practitioners engaged with data analytics and machine learning tasks.The book covers all of the key conceptual aspects of the field and provides a foundation for all interested parties to develop their own artificial intelligence applications.

    Price: 59.99 £ | Shipping*: 0.00 £
  • 2025 Stationery Gift Kit Children's Learning Supplies Six Piece Student Writing Tools Kid School
    2025 Stationery Gift Kit Children's Learning Supplies Six Piece Student Writing Tools Kid School

    2025 Stationery Gift Kit Children's Learning Supplies Six Piece Student Writing Tools Kid School

    Price: 1.19 £ | Shipping*: 1.99 £
  • Learning and Behavior : Active Learning Edition
    Learning and Behavior : Active Learning Edition

    Examine learning through an evolutionary lens as Chance/Furlong's LEARNING AND BEHAVIOR, 8E demonstrates how learning has evolved as a biological mechanism to aid in survival.This clear, engaging presentation embraces a scientific approach to studying behavior with updated content, numerous learning features and current examples to capture your interest and strengthen your understanding.Timely research demonstrates the relevance of what you are studying as you examine concepts such as "nature via nurture" and the co-dependency of ontogeny and phylogeny.New learning objectives direct your attention to important concepts for study and review while helpful Concept Checks ensure you understand concepts before progressing.In addition, all content corresponds with the latest 7th Edition of the APA Publication Manual.Trust this book's unique approach as you master concepts behind learning, behavior and change and apply this to everyday life.

    Price: 69.99 £ | Shipping*: 0.00 £
  • Learning, Unlearning and Re-Learning Curves
    Learning, Unlearning and Re-Learning Curves

    Learning, Unlearning and Re-learning Curves (Volume IV of the Working Guides to Estimating & Forecasting series) focuses in on Learning Curves, and the various tried and tested models of Wright, Crawford, DeJong, Towill-Bevis and others.It explores the differences and similarities between the various models and examines the key properties that Estimators and Forecasters can exploit. A discussion about Learning Curve Cost Drivers leads to the consideration of a little used but very powerful technique of Learning Curve modelling called Segmentation, which looks at an organisation’s complex learning curve as the product of multiple shallower learning curves.Perhaps the biggest benefit is that it simplifies the calculations in Microsoft Excel where there is a change in the rate of learning observed or expected.The same technique can be used to model and calibrate discontinuities in the learning process that result in setbacks and uplifts in time or cost.This technique is compared with other, better known techniques such as Anderlohr’s.Equivalent Unit Learning is another, relative new technique that can be used alongside traditional completed unit learning to give an early warning of changes in the rates of learning.Finally, a Learning Curve can be exploited to estimate the penalty of collaborative working across multiple partners.Supported by a wealth of figures and tables, this is a valuable resource for estimators, engineers, accountants, project risk specialists, as well as students of cost engineering.

    Price: 32.99 £ | Shipping*: 0.00 £
  • Can digital learning videos replace textbooks and traditional learning?

    While digital learning videos can be a valuable supplement to traditional learning methods, they may not be able to fully replace textbooks and traditional learning. Textbooks provide a comprehensive and structured approach to learning, while digital videos may lack depth and detail. Additionally, some students may struggle with self-regulation and focus when using digital resources. A combination of both digital learning videos and traditional learning methods may be the most effective approach to cater to different learning styles and preferences.

  • Is distance learning as good as in-person learning?

    Distance learning can be as good as in-person learning in certain circumstances. It offers flexibility and convenience for students who may have other commitments or need to work at their own pace. However, in-person learning provides opportunities for hands-on experiences, face-to-face interaction with teachers and peers, and a more structured learning environment. Ultimately, the effectiveness of distance learning versus in-person learning depends on the individual student's learning style and the quality of the educational resources and support available.

  • Is anyone learning?

    Yes, many people around the world are learning new things every day. Whether it's in a formal educational setting, through online courses, or simply through personal exploration, learning is a lifelong process that people engage in at all stages of life. The desire to learn and grow is a fundamental aspect of human nature, and it is a key driver of personal and societal progress.

  • Is distance learning as recognized as traditional on-campus learning?

    Distance learning has become increasingly recognized and accepted as a legitimate form of education, especially with the advancements in technology and the widespread availability of online courses. However, traditional on-campus learning still holds a higher level of recognition and prestige in many circles, particularly in certain industries or for specific types of degrees. Ultimately, the recognition of distance learning versus traditional on-campus learning can vary depending on the institution, field of study, and individual perspectives.

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