Products related to Learning:
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Learning Data Science : Data Wrangling, Exploration, Visualization, and Modeling with Python
As an aspiring data scientist, you appreciate why organizations rely on data for important decisions—whether it's for companies designing websites, cities deciding how to improve services, or scientists discovering how to stop the spread of disease. And you want the skills required to distill a messy pile of data into actionable insights.We call this the data science lifecycle: the process of collecting, wrangling, analyzing, and drawing conclusions from data. Learning Data Science is the first book to cover foundational skills in both programming and statistics that encompass this entire lifecycle.It's aimed at those who wish to become data scientists or who already work with data scientists, and at data analysts who wish to cross the "technical/nontechnical" divide.If you have a basic knowledge of Python programming, you'll learn how to work with data using industry-standard tools like pandas. Refine a question of interest to one that can be studied with dataPursue data collection that may involve text processing, web scraping, etc. Glean valuable insights about data through data cleaning, exploration, and visualizationLearn how to use modeling to describe the dataGeneralize findings beyond the data
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65/120 Assembled Building Blocks DIY Smart Stick Blocks Imagination Creativity Educational Learning
65/120 Assembled Building Blocks DIY Smart Stick Blocks Imagination Creativity Educational Learning
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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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Design Thinking and Innovation in Learning
Acknowledging that empowering today’s learner to find innovative and enriching experiences brings about a deeper desire within them to learn and develop skills, this book showcases a combination of innovative educational practices and creative pedagogy techniques to demonstrate how educators can kick-start learning success.Serving up chapters that cross cultural boundaries and present numerous possibilities to assist in constructing new ventures in the classroom, the authors demonstrate how innovation in education and educational policies create new pathways and partnerships for educators.With each author offering a unique perspective on innovative teaching and learning, they chronicle their successes and failures, present new possibilities for enacting practical change in the classroom, and document how the impact of change is experienced and modified as successful techniques are implemented.Collectively, the chapters shine a light on the power of exposure to diverse opportunities, access to multiple techniques, and cross-cultural functionality in providing expansive value to the learner.Appealing to researchers interested in digital storytelling, blended learning, academic integrity, design thinking methods and educational collaboration, this edited collection emphasises the role of innovative educational design in framing and developing global leaders and mobilizing significant change.
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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.
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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.
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Fantasy or imagination?
Fantasy and imagination are closely related but not the same. Imagination is the ability to form mental images, ideas, and sensations that are not present in reality, while fantasy is a genre of fiction that often involves magical or supernatural elements. Imagination is a fundamental cognitive process that allows us to think creatively and problem-solve, while fantasy is a specific type of creative expression. Both are important for creativity and innovation, but they serve different purposes in our cognitive and emotional lives.
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Which good fantasy books are suitable for learning English?
Good fantasy books that are suitable for learning English include "Harry Potter and the Sorcerer's Stone" by J.K. Rowling, "The Hobbit" by J.R.R. Tolkien, and "The Chronicles of Narnia" series by C.S. Lewis. These books are engaging and have rich vocabulary that can help improve English language skills. Additionally, the fantastical elements in these books can make learning English more enjoyable and immersive for readers.
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Learning and Innovation of Chinese Firms
This edited volume explores the learning and innovation of Chinese firms.In particular, it examines the difficulties and obstacles affecting the technological collaboration between Chinese firms and foreign partners as well as some of the key organizational and institutional challenges of innovation facing Chinese firms. Despite enjoying rapid economic growth in previous decades, learning and innovation of Chinese firms has received relatively limited attention among management and international business scholars in the past.However, some significant changes in the Chinese institutional environment have occurred in recent years.On one hand, the Chinese central government has devised a number of policy initiatives to promote and support innovative activities in China, ranging from the ‘Mass Entrepreneurship and Innovation by All’ to the latest ‘Made in China 2025’.On the other hand, we have witnessed an increasing number of indigenous Chinese firms (e.g.Alibaba, Baidu, Tencent, Huawei and DJI) adopting business model innovation with global inputs and impacts in different business sectors, namely electronic commerce, telecommunication network equipment, social media, mobile payment and drones. In view of these recent developments, we aim to further our understanding about the learning and innovation processes of Chinese firms in this edited volume.
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Multidisciplinary Approaches to Art Learning and Creativity : Fostering Artistic Exploration in Formal and Informal Settings
This book explores learning in the arts and highlights ways in which art and creativity can ignite learning in schools, informal learning spaces, and higher education.The focus is on learning in, with, and through the arts. Written from a range of international perspectives, Multidisciplinary Approaches to Art Learning and Creativity draws upon the fields of cognitive science, art education, technology and digital arts; the learning sciences; and museum studies to explore the theoretical underpinnings of artistic creativity and inspiration, and provide empirical explorations of mechanisms that support learning in the arts.Critical factors that help to facilitate the creative process are considered, and chapters highlight connections between research and practice in art learning.This volume offers a rich variety of positions and projects which underpin creativity in schools, museums, and other venues.An illustrative text for researchers and educators in the arts, Multidisciplinary Approaches to Art Learning and Creativity demonstrates how artistic ways of thinking and working with artists empower art learners and support their needs and opportunities across the lifespan.
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365 Toddler Activities That Inspire Creativity : Games, Projects, and Pastimes That Encourage a Child's Learning and Imagination
Activities for imaginative playtime - every day of the year!With 365 Toddler Activities That Inspire Creativity, you can spark your child's creativity and maximize his or her potential every day of the year.Written by an experienced child-care expert, you will find hundreds of entertaining toddler activities, songs, games, and art projects that stimulate cognitive development and encourage inventiveness.You and your toddler will enjoy playtime with age-appropriate activities like:Magic Sun PrintsTreasure ChestSprout in a BagRainbow ToastFishing in the TubAll-About-Me BookAnd so many more!Featuring everything from outdoor activities to rainy-day fun, 365 Toddler Activities That Inspire Creativity provides hours of creative toddler play!
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Learning Innovation and the Future of Higher Education
Giving higher education professionals the language and tools they need to seize new opportunities in digital learning. A quiet revolution is sweeping across US colleges and universities.As schools rethink how students learn - both inside and outside the classroom - technology is changing not only what should be taught but how best to teach it.From active learning and inclusive pedagogy to online and hybrid courses, traditional institutions are leveraging their fundamental strengths while challenging long-standing assumptions about how teaching and learning happen.At this intersection of learning, technology, design, and organizational change lies the foundation of a new academic discipline of digital learning.Coalescing around this new field of study is a common critical language, along with a set of theoretical frameworks, methodological practices, and shared challenges and goals.In Learning Innovation and the Future of Higher Education, Joshua Kim and Edward Maloney explore the context of this new discipline, show how it exists within a larger body of scholarship, and give examples of how this scholarship is being used on campuses. What Kim and Maloney demonstrate in this foundational text is an understanding that change is a complex dynamic between what happens in the classroom and the larger institutional structures and traditions at play.Ultimately, the authors make a compelling case not only for this turn to learning but also for creating new pathways for nonfaculty learning careers, understanding the limits of professional organizations and social media, and the need to establish this new interdisciplinary field of learning innovation.
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How can I improve my oral expression while learning German?
To improve your oral expression while learning German, you can practice speaking with native speakers or language exchange partners to gain confidence and receive feedback. Additionally, listening to German podcasts, watching German movies or TV shows, and repeating phrases out loud can help improve your pronunciation and fluency. It is also beneficial to participate in language classes or conversation groups to practice speaking in a structured environment. Lastly, setting specific language learning goals and consistently practicing speaking German will help you make progress in your oral expression skills.
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What is the difference between creativity and imagination?
Creativity is the ability to bring something new into existence, whether it be a product, idea, or solution. It involves the process of generating original and valuable ideas. Imagination, on the other hand, is the ability to form mental images, sensations, and concepts that are not present in one's immediate surroundings. It is the capacity to visualize and conceptualize things that may not exist in reality. In essence, creativity involves the application of imagination to produce something tangible and valuable.
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How can one develop visual imagination or creativity?
One can develop visual imagination or creativity by practicing observation and mindfulness. Taking the time to really see and appreciate the world around us can help to develop a deeper understanding of visual elements and how they can be used creatively. Engaging in activities such as drawing, painting, photography, or even just doodling can also help to exercise and expand visual imagination. Additionally, seeking inspiration from other artists and exposing oneself to a variety of visual stimuli can help to spark creativity and imagination.
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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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