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Outdoor Learning in Higher Education : Educating Beyond the Seminar Room
Outdoor Learning in Higher Education is essential reading for educational developers and academic teachers of all disciplines interested in the theory behind, and benefits of, learning outdoors.Filled with practical case studies and backed by recent research, it provides educators with the tools needed to create an effective yet inclusive learning experience for their students beyond the lecture hall or seminar room. In chapters which offer analysis, discussion of current debates and advice for good practice, the book is structured around five key themes:Theoretical perspectives and research supporting outdoor learning. Health and wellbeing benefits for learners and educators. Tools and techniques for teaching outdoors, including new technology. Examples of effective fieldwork. Crossing educational borders and implementing sustainability and the natural world into the curriculum. This key book covers issues which are relevant across all disciplines in higher education, including: experiential learning, sustainability, diversity and inclusion, and incorporating new technology.Outdoor Learning in Higher Education develops perspectives on these and other themes, while encouraging the creation of inspiring and effective learning environments.
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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.
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Learning to Fly, Learning to Love
There is little doubt that back in the 1950's being a fighter pilot was seen as being amongst the most glamorous occupations.These 'knights of the sky' were on a par with modern day pop idols or film stars.To some extent this kudos continues even to this day.However, it was then also one of the most dangerous occupations with many RAF aircrew killed each year due simply to accidents and mechanical equipment failures.No punches are pulled in this book, with much of the text containing detailed and explicit descriptions of flying, some intense sexual activity and the psychological confusion which can arise from falling in love.The story is based on the actual experiences of a real person who lived through these events.
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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.
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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.
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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.
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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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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.
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The The Reinforcement Learning Workshop : Learn how to apply cutting-edge reinforcement learning algorithms to a wide range of control problems
Start with the basics of reinforcement learning and explore deep learning concepts such as deep Q-learning, deep recurrent Q-networks, and policy-based methods with this practical guideKey FeaturesUse TensorFlow to write reinforcement learning agents for performing challenging tasksLearn how to solve finite Markov decision problemsTrain models to understand popular video games like BreakoutBook DescriptionVarious intelligent applications such as video games, inventory management software, warehouse robots, and translation tools use reinforcement learning (RL) to make decisions and perform actions that maximize the probability of the desired outcome.This book will help you to get to grips with the techniques and the algorithms for implementing RL in your machine learning models. Starting with an introduction to RL, you’ll be guided through different RL environments and frameworks.You’ll learn how to implement your own custom environments and use OpenAI baselines to run RL algorithms.Once you’ve explored classic RL techniques such as Dynamic Programming, Monte Carlo, and TD Learning, you’ll understand when to apply the different deep learning methods in RL and advance to deep Q-learning.The book will even help you understand the different stages of machine-based problem-solving by using DARQN on a popular video game Breakout.Finally, you’ll find out when to use a policy-based method to tackle an RL problem. By the end of The Reinforcement Learning Workshop, you’ll be equipped with the knowledge and skills needed to solve challenging problems using reinforcement learning. What you will learnUse OpenAI Gym as a framework to implement RL environmentsFind out how to define and implement reward functionExplore Markov chain, Markov decision process, and the Bellman equationDistinguish between Dynamic Programming, Monte Carlo, and Temporal Difference LearningUnderstand the multi-armed bandit problem and explore various strategies to solve itBuild a deep Q model network for playing the video game BreakoutWho this book is forIf you are a data scientist, machine learning enthusiast, or a Python developer who wants to learn basic to advanced deep reinforcement learning algorithms, this workshop is for you.A basic understanding of the Python language is necessary.
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Learning Tensorflow.js : Powerful Machine Learning in JavaScript
Given the demand for AI and the ubiquity of JavaScript, TensorFlow.js was inevitable.With this Google framework, seasoned AI veterans and web developers alike can help propel the future of AI-driven websites.In this guide, author Gant Laborde--Google Developer Expert in machine learning and the web--provides a hands-on end-to-end approach to TensorFlow.js fundamentals for a broad technical audience that includes data scientists, engineers, web developers, students, and researchers. You'll begin by working through some basic examples in TensorFlow.js before diving deeper into neural network architectures, DataFrames, TensorFlow Hub, model conversion, transfer learning, and more.Once you finish this book, you'll know how to build and deploy production-ready deep learning systems with TensorFlow.js. Explore tensors, the most fundamental structure of machine learningConvert data into tensors and back with a real-world exampleCombine AI with the web using TensorFlow.jsUse resources to convert, train, and manage machine learning dataBuild and train your own training models from scratch
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Arabic Quran Learning Machine - Muslim Islamic Holy Tablet Toy Kids' Learning Learning Educational
Arabic Quran Learning Machine - Muslim Islamic Holy Tablet Toy Kids' Learning Learning Educational
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Arabic Quran Learning Machine - Muslim Islamic Holy Tablet Toy Kids' Learning Learning Educational
Arabic Quran Learning Machine - Muslim Islamic Holy Tablet Toy Kids' Learning Learning Educational
Price: 4.19 € | Shipping*: 1.99 €
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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.
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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.
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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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Is learning the keyboard more difficult than learning the guitar?
The difficulty of learning the keyboard versus the guitar can vary depending on the individual. Some may find the keyboard more challenging due to the coordination required to play different notes with both hands simultaneously. On the other hand, the guitar may be seen as more difficult by some because of the finger dexterity needed to navigate the fretboard and play chords. Ultimately, the level of difficulty in learning either instrument is subjective and can be influenced by factors such as prior musical experience and personal preferences.
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