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Download or read book Mindshift written by Barbara Oakley, PhD and published by Penguin. This book was released on 2017-04-18 with total page 306 pages. Available in PDF, EPUB and Kindle. Book excerpt: Mindshift reveals how we can overcome stereotypes and preconceived ideas about what is possible for us to learn and become. At a time when we are constantly being asked to retrain and reinvent ourselves to adapt to new technologies and changing industries, this book shows us how we can uncover and develop talents we didn’t realize we had—no matter what our age or background. We’re often told to “follow our passions.” But in Mindshift, Dr. Barbara Oakley shows us how we can broaden our passions. Drawing on the latest neuroscientific insights, Dr. Oakley shepherds us past simplistic ideas of “aptitude” and “ability,” which provide only a snapshot of who we are now—with little consideration about how we can change. Even seemingly “bad” traits, such as a poor memory, come with hidden advantages—like increased creativity. Profiling people from around the world who have overcome learning limitations of all kinds, Dr. Oakley shows us how we can turn perceived weaknesses, such as impostor syndrome and advancing age, into strengths. People may feel like they’re at a disadvantage if they pursue a new field later in life; yet those who change careers can be fertile cross-pollinators: They bring valuable insights from one discipline to another. Dr. Oakley teaches us strategies for learning that are backed by neuroscience so that we can realize the joy and benefits of a learning lifestyle. Mindshift takes us deep inside the world of how people change and grow. Our biggest stumbling blocks can be our own preconceptions, but with the right mental insights, we can tap into hidden potential and create new opportunities.
Book Synopsis Learning How to Learn by : Barbara Oakley, PhD
Download or read book Learning How to Learn written by Barbara Oakley, PhD and published by Penguin. This book was released on 2018-08-07 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: A surprisingly simple way for students to master any subject--based on one of the world's most popular online courses and the bestselling book A Mind for Numbers A Mind for Numbers and its wildly popular online companion course "Learning How to Learn" have empowered more than two million learners of all ages from around the world to master subjects that they once struggled with. Fans often wish they'd discovered these learning strategies earlier and ask how they can help their kids master these skills as well. Now in this new book for kids and teens, the authors reveal how to make the most of time spent studying. We all have the tools to learn what might not seem to come naturally to us at first--the secret is to understand how the brain works so we can unlock its power. This book explains: Why sometimes letting your mind wander is an important part of the learning process How to avoid "rut think" in order to think outside the box Why having a poor memory can be a good thing The value of metaphors in developing understanding A simple, yet powerful, way to stop procrastinating Filled with illustrations, application questions, and exercises, this book makes learning easy and fun.
Book Synopsis Learning to Learn by : Sebastian Thrun
Download or read book Learning to Learn written by Sebastian Thrun and published by Springer Science & Business Media. This book was released on 2012-12-06 with total page 346 pages. Available in PDF, EPUB and Kindle. Book excerpt: Over the past three decades or so, research on machine learning and data mining has led to a wide variety of algorithms that learn general functions from experience. As machine learning is maturing, it has begun to make the successful transition from academic research to various practical applications. Generic techniques such as decision trees and artificial neural networks, for example, are now being used in various commercial and industrial applications. Learning to Learn is an exciting new research direction within machine learning. Similar to traditional machine-learning algorithms, the methods described in Learning to Learn induce general functions from experience. However, the book investigates algorithms that can change the way they generalize, i.e., practice the task of learning itself, and improve on it. To illustrate the utility of learning to learn, it is worthwhile comparing machine learning with human learning. Humans encounter a continual stream of learning tasks. They do not just learn concepts or motor skills, they also learn bias, i.e., they learn how to generalize. As a result, humans are often able to generalize correctly from extremely few examples - often just a single example suffices to teach us a new thing. A deeper understanding of computer programs that improve their ability to learn can have a large practical impact on the field of machine learning and beyond. In recent years, the field has made significant progress towards a theory of learning to learn along with practical new algorithms, some of which led to impressive results in real-world applications. Learning to Learn provides a survey of some of the most exciting new research approaches, written by leading researchers in the field. Its objective is to investigate the utility and feasibility of computer programs that can learn how to learn, both from a practical and a theoretical point of view.
Book Synopsis Knowledge Guided Machine Learning by : Anuj Karpatne
Download or read book Knowledge Guided Machine Learning written by Anuj Karpatne and published by CRC Press. This book was released on 2022-08-15 with total page 442 pages. Available in PDF, EPUB and Kindle. Book excerpt: Given their tremendous success in commercial applications, machine learning (ML) models are increasingly being considered as alternatives to science-based models in many disciplines. Yet, these "black-box" ML models have found limited success due to their inability to work well in the presence of limited training data and generalize to unseen scenarios. As a result, there is a growing interest in the scientific community on creating a new generation of methods that integrate scientific knowledge in ML frameworks. This emerging field, called scientific knowledge-guided ML (KGML), seeks a distinct departure from existing "data-only" or "scientific knowledge-only" methods to use knowledge and data at an equal footing. Indeed, KGML involves diverse scientific and ML communities, where researchers and practitioners from various backgrounds and application domains are continually adding richness to the problem formulations and research methods in this emerging field. Knowledge Guided Machine Learning: Accelerating Discovery using Scientific Knowledge and Data provides an introduction to this rapidly growing field by discussing some of the common themes of research in KGML using illustrative examples, case studies, and reviews from diverse application domains and research communities as book chapters by leading researchers. KEY FEATURES First-of-its-kind book in an emerging area of research that is gaining widespread attention in the scientific and data science fields Accessible to a broad audience in data science and scientific and engineering fields Provides a coherent organizational structure to the problem formulations and research methods in the emerging field of KGML using illustrative examples from diverse application domains Contains chapters by leading researchers, which illustrate the cutting-edge research trends, opportunities, and challenges in KGML research from multiple perspectives Enables cross-pollination of KGML problem formulations and research methods across disciplines Highlights critical gaps that require further investigation by the broader community of researchers and practitioners to realize the full potential of KGML
Download or read book Space written by and published by . This book was released on 2014-03-01 with total page 48 pages. Available in PDF, EPUB and Kindle. Book excerpt: Find out all the facts you have ever wanted to know on your favourite subject with this wonders of learning title
Book Synopsis SUMMARY - Mindshift: Break Through Obstacles To Learning And Discover Your Hidden Potential By Barbara Oakley by : Shortcut Edition
Download or read book SUMMARY - Mindshift: Break Through Obstacles To Learning And Discover Your Hidden Potential By Barbara Oakley written by Shortcut Edition and published by Shortcut Edition. This book was released on 2021-06-05 with total page 28 pages. Available in PDF, EPUB and Kindle. Book excerpt: * Our summary is short, simple and pragmatic. It allows you to have the essential ideas of a big book in less than 30 minutes. In this summary, you will discover the secrets of learning to quickly improve your personal and professional life. You will also discover : how to change jobs ; how to enjoy learning new things; how to learn better and faster; how to learn online; how to discover your hidden potential. Study and learning are the foundation of all knowledge and therefore of all efficiency. Not being satisfied with the present situation shows ignorance of this simple principle: any real change implies a change of state of mind that comes with new learning. Change and learning are inextricably linked. *Buy now the summary of this book for the modest price of a cup of coffee!
Book Synopsis Master Machine Learning Algorithms by : Jason Brownlee
Download or read book Master Machine Learning Algorithms written by Jason Brownlee and published by Machine Learning Mastery. This book was released on 2016-03-04 with total page 162 pages. Available in PDF, EPUB and Kindle. Book excerpt: You must understand the algorithms to get good (and be recognized as being good) at machine learning. In this Ebook, finally cut through the math and learn exactly how machine learning algorithms work, then implement them from scratch, step-by-step.
Download or read book 100 Words on the Go written by Redd Byrd and published by Discover & Learn. This book was released on 2017-08 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt: More than 100 words about vehicles and places they go!
Book Synopsis Listen and Learn by : Publications International, Limited
Download or read book Listen and Learn written by Publications International, Limited and published by . This book was released on 1995 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:
Book Synopsis Making Meaning in English by : David Didau
Download or read book Making Meaning in English written by David Didau and published by Routledge. This book was released on 2021-02-09 with total page 400 pages. Available in PDF, EPUB and Kindle. Book excerpt: What is English as a school subject for? What does knowledge look like in English and what should be taught? Making Meaning in English examines the broader purpose and reasons for teaching English and explores what knowledge looks like in a subject concerned with judgement, interpretation and value. David Didau argues that the content of English is best explored through distinct disciplinary lenses – metaphor, story, argument, pattern, grammar and context – and considers the knowledge that needs to be explicitly taught so students can recognise, transfer, build and extend their knowledge of English. He discusses the principles and tools we can use to make decisions about what to teach and offers a curriculum framework that draws these strands together to allow students to make sense of the knowledge they encounter. If students are going to enjoy English as a subject and do well in it, they not only need to be knowledgeable, but understand how to use their knowledge to create meaning. This insightful text offers a practical way for teachers to construct a curriculum in which the mastery of English can be planned, taught and assessed.
Book Synopsis Powerful Learning by : Linda Darling-Hammond
Download or read book Powerful Learning written by Linda Darling-Hammond and published by John Wiley & Sons. This book was released on 2015-07-15 with total page 318 pages. Available in PDF, EPUB and Kindle. Book excerpt: In Powerful Learning, Linda Darling-Hammond and an impressive list of co-authors offer a clear, comprehensive, and engaging exploration of the most effective classroom practices. They review, in practical terms, teaching strategies that generate meaningful K–2 student understanding, and occur both within the classroom walls and beyond. The book includes rich stories, as well as online videos of innovative classrooms and schools, that show how students who are taught well are able to think critically, employ flexible problem-solving, and apply learned skills and knowledge to new situations.
Download or read book Find Your Why written by Simon Sinek and published by Penguin. This book was released on 2017-09-05 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Start With Why has led millions of readers to rethink everything they do – in their personal lives, their careers and their organizations. Now Find Your Why picks up where Start With Why left off. It shows you how to apply Simon Sinek’s powerful insights so that you can find more inspiration at work -- and in turn inspire those around you. I believe fulfillment is a right and not a privilege. We are all entitled to wake up in the morning inspired to go to work, feel safe when we’re there and return home fulfilled at the end of the day. Achieving that fulfillment starts with understanding exactly WHY we do what we do. As Start With Why has spread around the world, countless readers have asked me the same question: How can I apply Start With Why to my career, team, company or nonprofit? Along with two of my colleagues, Peter Docker and David Mead, I created this hands-on, step-by-step guide to help you find your WHY. With detailed exercises, illustrations, and action steps for every stage of the process, Find Your Why can help you address many important concerns, including: * What if my WHY sounds just like my competitor’s? * Can I have more than one WHY? * If my work doesn’t match my WHY, what should I do? * What if my team can’t agree on our WHY? Whether you've just started your first job, are leading a team, or are CEO of your own company, the exercises in this book will help guide you on a path to long-term success and fulfillment, for both you and your colleagues. Thank you for joining us as we work together to build a world in which more people start with WHY. Inspire on! -- Simon
Book Synopsis How People Learn by : National Research Council
Download or read book How People Learn written by National Research Council and published by National Academies Press. This book was released on 2000-08-11 with total page 386 pages. Available in PDF, EPUB and Kindle. Book excerpt: First released in the Spring of 1999, How People Learn has been expanded to show how the theories and insights from the original book can translate into actions and practice, now making a real connection between classroom activities and learning behavior. This edition includes far-reaching suggestions for research that could increase the impact that classroom teaching has on actual learning. Like the original edition, this book offers exciting new research about the mind and the brain that provides answers to a number of compelling questions. When do infants begin to learn? How do experts learn and how is this different from non-experts? What can teachers and schools do-with curricula, classroom settings, and teaching methodsâ€"to help children learn most effectively? New evidence from many branches of science has significantly added to our understanding of what it means to know, from the neural processes that occur during learning to the influence of culture on what people see and absorb. How People Learn examines these findings and their implications for what we teach, how we teach it, and how we assess what our children learn. The book uses exemplary teaching to illustrate how approaches based on what we now know result in in-depth learning. This new knowledge calls into question concepts and practices firmly entrenched in our current education system. Topics include: How learning actually changes the physical structure of the brain. How existing knowledge affects what people notice and how they learn. What the thought processes of experts tell us about how to teach. The amazing learning potential of infants. The relationship of classroom learning and everyday settings of community and workplace. Learning needs and opportunities for teachers. A realistic look at the role of technology in education.
Book Synopsis Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow by : Aurélien Géron
Download or read book Hands-On Machine Learning with Scikit-Learn, Keras, and TensorFlow written by Aurélien Géron and published by "O'Reilly Media, Inc.". This book was released on 2019-09-05 with total page 851 pages. Available in PDF, EPUB and Kindle. Book excerpt: Through a series of recent breakthroughs, deep learning has boosted the entire field of machine learning. Now, even programmers who know close to nothing about this technology can use simple, efficient tools to implement programs capable of learning from data. This practical book shows you how. By using concrete examples, minimal theory, and two production-ready Python frameworks—Scikit-Learn and TensorFlow—author Aurélien Géron helps you gain an intuitive understanding of the concepts and tools for building intelligent systems. You’ll learn a range of techniques, starting with simple linear regression and progressing to deep neural networks. With exercises in each chapter to help you apply what you’ve learned, all you need is programming experience to get started. Explore the machine learning landscape, particularly neural nets Use Scikit-Learn to track an example machine-learning project end-to-end Explore several training models, including support vector machines, decision trees, random forests, and ensemble methods Use the TensorFlow library to build and train neural nets Dive into neural net architectures, including convolutional nets, recurrent nets, and deep reinforcement learning Learn techniques for training and scaling deep neural nets
Book Synopsis Intelligent Accountability: Creating the conditions for teachers to thrive by : David Didau
Download or read book Intelligent Accountability: Creating the conditions for teachers to thrive written by David Didau and published by Hachette UK. This book was released on 2020-11-06 with total page 258 pages. Available in PDF, EPUB and Kindle. Book excerpt: Uncertainty is a fact of life. You can never know enough to make perfect decisions. Understanding this helps us balance an awareness of our tendency towards overconfidence with an acceptance of our own fallibility. The book discusses two opposed models of school improvement: the deficit model (which assumes problems are someone’s fault) and the surplus model (which assumes problems are unintended systemic flaws). By aligning ourselves to a surplus model we can create a system of Intelligent Accountability. The principles that make this possible are trust, accountability and fairness. While we thrive when trusted, unless someone cares about – and is holding us to account – for what we do, we’re unlikely to be our best. Some teachers deserve more trust and require less scrutiny than others, but in order to satisfy the demands of equality we end up treating all teachers as equally untrustworthy. The more we trust teachers, the more autonomy they should be given. To pursue a system of fair inequality we must accept that autonomy must be earned.
Book Synopsis Deep Learning for the Life Sciences by : Bharath Ramsundar
Download or read book Deep Learning for the Life Sciences written by Bharath Ramsundar and published by O'Reilly Media. This book was released on 2019-04-10 with total page 236 pages. Available in PDF, EPUB and Kindle. Book excerpt: Deep learning has already achieved remarkable results in many fields. Now it’s making waves throughout the sciences broadly and the life sciences in particular. This practical book teaches developers and scientists how to use deep learning for genomics, chemistry, biophysics, microscopy, medical analysis, and other fields. Ideal for practicing developers and scientists ready to apply their skills to scientific applications such as biology, genetics, and drug discovery, this book introduces several deep network primitives. You’ll follow a case study on the problem of designing new therapeutics that ties together physics, chemistry, biology, and medicine—an example that represents one of science’s greatest challenges. Learn the basics of performing machine learning on molecular data Understand why deep learning is a powerful tool for genetics and genomics Apply deep learning to understand biophysical systems Get a brief introduction to machine learning with DeepChem Use deep learning to analyze microscopic images Analyze medical scans using deep learning techniques Learn about variational autoencoders and generative adversarial networks Interpret what your model is doing and how it’s working
Download or read book Learning Spaces written by Diana Oblinger and published by . This book was released on 2006 with total page 470 pages. Available in PDF, EPUB and Kindle. Book excerpt: El espacio, ya sea físico o virtual, puede tener un impacto significativo en el aprendizaje. Learning Spaces se centra en la forma en que las expectativas de los alumnos influyen en dichos espacios, en los principios y actividades que facilitan el aprendizaje y en el papel de la tecnología desde la perspectiva de quienes crean los entornos de aprendizaje: profesores, tecnólogos del aprendizaje, bibliotecarios y administradores. La tecnología de la información ha aportado capacidades únicas a los espacios de aprendizaje, ya sea estimulando una mayor interacción mediante el uso de herramientas de colaboración, videoconferencias con expertos internacionales o abriendo mundos virtuales para la exploración. Este libro representa una exploración continua a medida que unimos el espacio, la tecnología y la pedagogía para asegurar el éxito de los estudiantes.
