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Machine Learning for Physics and Astronomy
A hands-on introduction to machine learning and its applications to the physical sciencesAs the size and complexity of data continue to grow exponentially across the physical sciences, machine learning is helping scientists to sift through and analyze this information while driving breathtaking advances in quantum physics, astronomy, cosmology, and beyond.This incisive textbook covers the basics of building, diagnosing, optimizing, and deploying machine learning methods to solve research problems in physics and astronomy, with an emphasis on critical thinking and the scientific method.Using a hands-on approach to learning, Machine Learning for Physics and Astronomy draws on real-world, publicly available data as well as examples taken directly from the frontiers of research, from identifying galaxy morphology from images to identifying the signature of standard model particles in simulations at the Large Hadron Collider. Introduces readers to best practices in data-driven problem-solving, from preliminary data exploration and cleaning to selecting the best method for a given taskEach chapter is accompanied by Jupyter Notebook worksheets in Python that enable students to explore key conceptsIncludes a wealth of review questions and quizzesIdeal for advanced undergraduate and early graduate students in STEM disciplines such as physics, computer science, engineering, and applied mathematicsAccessible to self-learners with a basic knowledge of linear algebra and calculusSlides and assessment questions (available only to instructors)
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Higher Education Teaching & Learning Space Design Guide
This book is essential reading for teaching staff and librarians to assist them in briefing the project design teams.It should also be a reference book for architects and interior designers.Student's need for social learning, collaborative and interactive facilities have had the greatest impact on the design of new teaching and learning spaces.The author, Brian Griffin, Architect researched this subject over many years and has included a large number of international Case Studies of successful designs.He is also the author of 'Laboratory Design Guide' 3rd Ed 2012 Routledge.
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An Analysis of James March's Exploration and Exploitation in Organizational Learning
Exploration and Exploitation is a key text for scholars and business practitioners interested in promoting economic well-being and sustainable growth.March’s work promotes the preservation of companies’ competitiveness and sustainability in the fluctuating market environment by maintaining a balance between exploration and exploitation processes.He explicates that this balance depends on the interchange between the adaptive capability of the company, predictability and consistency, competition, anticipations, level of risk, learning, socialization dynamics within the organization, and the overall environmental turbulence.These intricacies make March’s text invaluable.
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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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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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What is the topic of the MSA project in relation to astronomy, space exploration, and the universe?
The topic of the MSA project is the study of the Martian atmosphere and its potential for supporting life. This relates to astronomy, space exploration, and the universe as it involves understanding the conditions on Mars and the possibility of habitability beyond Earth. By studying the Martian atmosphere, scientists aim to gain insights into the potential for life on other planets and the broader search for extraterrestrial life in the universe.
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Do you have any tips for a special learning achievement (BLL) in physics/astronomy?
One tip for achieving special learning achievement in physics/astronomy is to actively engage with the material by asking questions, seeking out additional resources, and participating in discussions. It's also important to practice problem-solving regularly and seek out opportunities for hands-on learning experiences, such as conducting experiments or observing celestial phenomena. Additionally, finding a mentor or joining a study group can provide valuable support and guidance. Lastly, staying curious and maintaining a growth mindset can help foster a deep and lasting understanding of the subject matter.
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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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The Art of the Cosmos : Visions from the Frontier of Deep-Space Exploration
Hundreds of deep space missions since the 1960s have captured stunning photographs of the cosmos.Many of these scientific images can also be classified as art.This book highlights more than 100 examples, revealing the splendor of our universe. This book is a gallery of human accomplishment that celebrates the scientists and engineers who push civilization-including the ways that we produce and experience art-beyond the physical limits of our planet.The photographs, selected by Dr. Jim Bell, represent some of the finest examples of the art of deep space exploration, most of them involving high-tech robotic emissaries.The images are loosely organized by distance from the Earth, so that readers will slowly travel on a journey farther and farther away from home, ultimately voyaging out to vistas of the farthest-known places in the universe.
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Space Exploration
Space is full of mysteries! What can be found on Mars and other planets? Are there planets like Earth? Could there be aliens in space? What have astronauts who have lived on the International Space Station learned?Find out about the tools and vehicles scientists use to study space today and how they hope to do it in the future.
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An Intuitive Exploration of Artificial Intelligence : Theory and Applications of Deep Learning
This book develops a conceptual understanding of Artificial Intelligence (AI), Deep Learning and Machine Learning in the truest sense of the word.It is an earnest endeavor to unravel what is happening at the algorithmic level, to grasp how applications are being built and to show the long adventurous road in the future. An Intuitive Exploration of Artificial Intelligence offers insightful details on how AI works and solves problems in computer vision, natural language understanding, speech understanding, reinforcement learning and synthesis of new content.From the classic problem of recognizing cats and dogs, to building autonomous vehicles, to translating text into another language, to automatically converting speech into text and back to speech, to generating neural art, to playing games, and the author's own experience in building solutions in industry, this book is about explaining how exactly the myriad applications of AI flow out of its immense potential. The book is intended to serve as a textbook for graduate and senior-level undergraduate courses in AI.Moreover, since the book provides a strong geometrical intuition about advanced mathematical foundations of AI, practitioners and researchers will equally benefit from the book.
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Architecture of the Cosmos : Shanghai Astronomy Museum
This book, edited by the designer of Shanghai Astronomy Museum, Ennead Architects LLP, is an all-round record of the design and construction process of Shanghai Astronomy Museum, with a foreword written by Ye Shuhua — an astronomer and academician of the Chinese Academy of Sciences, and a preface by Shanghai Science and Technology Museum.The main part of the book unfolds from four perspectives: site, concept, realisation, and engineering and construction, which describes the process of generating the core form of the Shanghai Astronomy Museum, as well as the design ingenuity of the main functional areas inside.The book presents many beautiful images of the museum, and includes texts by the chief designer, Thomas J.Wong. The designers' love for the universe and their great enthusiasm for the project contribute to the essence of this book. Text in English and Chinese.
Price: 45.95 £ | Shipping*: 0.00 £
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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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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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