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 Free Download William Byers, "Deep Thinking: What Mathematics Can Teach Us About The Mind" English | ISBN: 9814618039 | 2014 | 262 pages | EPUB | 759 KB There is more than one way to think. Most people are familiar with the systematic, rule-based thinking that one finds in a mathematical proof or a computer program. But such thinking does not produce breakthroughs in mathematics and science nor is it the kind of thinking that results in significant learning. Deep thinking is a different and more basic way of using the mind. It results in the discontinuous "aha!" experience, which is the essence of creativity. It is at the heart of every paradigm shift or reframing of a problematic situation.The identification of deep thinking as the default state of the mind has the potential to reframe our current approach to technological change, education, and the nature of mathematics and science. For example, there is an unbridgeable gap between deep thinking and computer simulations of thinking. Many people suspect that such a gap exists, but find it difficult to make this intuition precise. This book identifies the way in which the authentic intelligence of deep thinking differs from the artificial intelligence of "big data" and "analytics".Deep thinking is the essential ingredient in every significant learning experience, which leads to a new way to think about education. It is also essential to the construction of conceptual systems that are at the heart of mathematics and science, and of the technologies that shape the modern world. Deep thinking can be found whenever one conceptual system morphs into another.The sources of this study include the cognitive development of numbers in children, neuropsychology, the study of creativity, and the historical development of mathematics and science. The approach is unusual and original. It comes out of the author's lengthy experience as a mathematician, teacher, and writer of books about mathematics and science, such as How Mathematicians Think: Using Ambiguity, Contradiction, and Paradox to Create Mathematics and The Blind Spot: Science and the Crisis of Uncertainty.  Free Download Deep Learning for Numerical Applications with SAS® By Henry Bequet 2018 | 234 Pages | ISBN: 1635266807 | PDF | 23 MB Foreword by Oliver Schabenberger, PhD Executive Vice President, Chief Operating Officer and Chief Technology OfficerSAS Dive into deep learning! Machine learning and deep learning are ubiquitous in our homes and workplaces-from machine translation to image recognition and predictive analytics to autonomous driving. Deep learning holds the promise of improving many everyday tasks in a variety of disciplines. Much deep learning literature explains the mechanics of deep learning with the goal of implementing cognitive applications fueled by Big Data. This book is different. Written by an expert in high-performance analytics, Deep Learning for Numerical Applications with SAS® introduces a new field: Deep Learning for Numerical Applications (DL4NA). Contrary to deep learning, the primary goal of DL4NA is not to learn from data but to dramatically improve the performance of numerical applications by training deep neural networks. Deep Learning for Numerical Applications with SAS® presents deep learning concepts in SAS along with step-by-step techniques that allow you to easily reproduce the examples on your high-performance analytics systems. It also discusses the latest hardware innovations that can power your SAS programs: from many-core CPUs to GPUs to FPGAs to ASICs. This book assumes the reader has no prior knowledge of high-performance computing, machine learning, or deep learning. It is intended for SAS developers who want to develop and run the fastest analytics. In addition to discovering the latest trends in hybrid architectures with GPUs and FPGAS, readers will learn how to Use deep learning in SAS Speed up their analytics using deep learning Easily write highly parallel programs using the many task computing paradigms For sample material and supporting resources, please see the author's page. This book is part of the SAS Press program.  Free Download Deep Learning for Natural Language Processing: Solve your natural language processing problems with smart deep neural networks by Reddy Bokka, Karthiek  Free Download Deep Learning for Medical Image Analysis, 2nd Edition by S. Kevin Zhou, Hayit Greenspan English | 2023 | ISBN: 032385124X | 544 Pages | True PDF | 22 MB  Free Download Deep History: The Architecture of Past and Present By Andrew Shryock; Daniel Lord Smail 2011 | 360 Pages | ISBN: 0520949668 | EPUB | 3 MB Humans have always been interested in their origins, but historians have been reluctant to write about the long stretches of time before the invention of writing. In fact, the deep past was left out of most historical writing almost as soon as it was discovered. This breakthrough book, as important for readers interested in the present as in the past, brings science into history to offer a dazzling new vision of humanity across time. Team-written by leading experts in a variety of fields, it maps events, cultures, and eras across millions of years to present a new scale for understanding the human body, energy and ecosystems, language, food, kinship, migration, and more. Combining cutting-edge social and evolutionary theory with the latest discoveries about human genes, brains, and material culture, Deep History invites scholars and general readers alike to explore the dynamic of connectedness that spans all of human history.With Timothy Earle, Gillian Feeley-Harnik, Felipe Fernandez-Armesto, Clive Gamble, April McMahon, John C. Mitani, Hendrik Poinar, Mary C. Stiner, and Thomas R. Trautmann
 Free Download Jay F Brakefield, "Deep Ellum (John and Robin Dickson Texas Music, Sponsored by the Center for Texas Music History, Texas)" English | 2013 | pages: 322 | ISBN: 1603449582 | PDF | 90,3 mb Deep Ellum, on the eastern edge of downtown Dallas, retains its character as an alternative to the city's staid image with loft apartments, art galleries, nightclubs, and tattoo shops. It first sprang up as a ramshackle business district with saloons and variety theatres and evolved, during the early decades of the twentieth century, into a place where the black and white worlds of Dallas converged. This book strips away layers of myth to illuminate the cultural milieu that spawned such seminal blues and jazz musicians as Blind Lemon Jefferson, Buster Smith, and T-Bone Walker and that was also an incubator for the growth of western swing. Expanding upon the original 1998 publication, this Texas A&M University Press edition offers new research on Deep Ellum's vital cross-fertilization of white and black musical styles, many additional rare historical photographs, and an updated account of the area in the early years of the twenty-first century. ALAN GOVENAR is an author, folklorist, photographer, and filmmaker, living in Dallas. His recent titles include Everyday Music, Jasper, Texas: The Community Photographs of Alonzo Jordan, Lightnin' Hopkins: His Life and Blues, and Texas Blues: The Rise of a Contemporary Sound. JAY BRAKEFIELD is a career journalist, freelance writer, and editor. He lives in Bryan, Texas.  Free Download Deconstructing the Feminine: Subjectivities in Transition, 2nd Edition by Leticia Glocer Fiorini English | 2024 | ISBN: 1032588942 | 163 Pages | True PDF | 2.82 MB
 Free Download Deconstructing Self-Determination in International Law: Sovereignty, Exception, and Biopolitics by Przemyslaw Tacik English | 2023 | ISBN: 9004541136 | 518 Pages | True PDF | 78 MB
 Free Download Ashley Dawson, "Decolonize Conservation: Global Voices for Indigenous Self-Determination, Land, and a World in Common" English | ISBN: 1942173768 | 2023 | 256 pages | EPUB | 3 MB Frontline voices from the worldwide movement to decolonize climate change and revitalize a dying planet.  Free Download Decision-making Tools to Support Innovation: Guidelines and Case Studies English | 2023 | ISBN: 1789450896 | 272 Pages | PDF, EPUB (True) | 26 MB Scientific thinking concerning the way in which we drive innovation has been widely developed in recent years. It is known that the process of innovation consists of a succession of decision-making processes that require simultaneous technical, economical, organizational and sustainable compromises. Indeed, all innovative activities in business require stakeholders to seek out the best compromise between various, often contradictory dimensions of the same problems. |
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