DYNAMIC FOUNDATION OF KNOWLEDGE

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Publisher :
ISBN 13 : 9781033748022
Total Pages : 0 pages
Book Rating : 4.7/5 (48 download)

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Book Synopsis DYNAMIC FOUNDATION OF KNOWLEDGE by : ALEXANDER. PHILIP

Download or read book DYNAMIC FOUNDATION OF KNOWLEDGE written by ALEXANDER. PHILIP and published by . This book was released on 2018 with total page 0 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Dynamic Foundation of Knowledge

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Publisher :
ISBN 13 :
Total Pages : 340 pages
Book Rating : 4.F/5 ( download)

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Book Synopsis The Dynamic Foundation of Knowledge by : Alexander Philip

Download or read book The Dynamic Foundation of Knowledge written by Alexander Philip and published by . This book was released on 1913 with total page 340 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Foundations of Machine Learning, second edition

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Publisher : MIT Press
ISBN 13 : 0262351366
Total Pages : 505 pages
Book Rating : 4.2/5 (623 download)

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Book Synopsis Foundations of Machine Learning, second edition by : Mehryar Mohri

Download or read book Foundations of Machine Learning, second edition written by Mehryar Mohri and published by MIT Press. This book was released on 2018-12-25 with total page 505 pages. Available in PDF, EPUB and Kindle. Book excerpt: A new edition of a graduate-level machine learning textbook that focuses on the analysis and theory of algorithms. This book is a general introduction to machine learning that can serve as a textbook for graduate students and a reference for researchers. It covers fundamental modern topics in machine learning while providing the theoretical basis and conceptual tools needed for the discussion and justification of algorithms. It also describes several key aspects of the application of these algorithms. The authors aim to present novel theoretical tools and concepts while giving concise proofs even for relatively advanced topics. Foundations of Machine Learning is unique in its focus on the analysis and theory of algorithms. The first four chapters lay the theoretical foundation for what follows; subsequent chapters are mostly self-contained. Topics covered include the Probably Approximately Correct (PAC) learning framework; generalization bounds based on Rademacher complexity and VC-dimension; Support Vector Machines (SVMs); kernel methods; boosting; on-line learning; multi-class classification; ranking; regression; algorithmic stability; dimensionality reduction; learning automata and languages; and reinforcement learning. Each chapter ends with a set of exercises. Appendixes provide additional material including concise probability review. This second edition offers three new chapters, on model selection, maximum entropy models, and conditional entropy models. New material in the appendixes includes a major section on Fenchel duality, expanded coverage of concentration inequalities, and an entirely new entry on information theory. More than half of the exercises are new to this edition.

The Knowledge Machine: How Irrationality Created Modern Science

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Publisher : Liveright Publishing
ISBN 13 : 1631491385
Total Pages : 368 pages
Book Rating : 4.6/5 (314 download)

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Book Synopsis The Knowledge Machine: How Irrationality Created Modern Science by : Michael Strevens

Download or read book The Knowledge Machine: How Irrationality Created Modern Science written by Michael Strevens and published by Liveright Publishing. This book was released on 2020-10-13 with total page 368 pages. Available in PDF, EPUB and Kindle. Book excerpt: “The Knowledge Machine is the most stunningly illuminating book of the last several decades regarding the all-important scientific enterprise.” —Rebecca Newberger Goldstein, author of Plato at the Googleplex A paradigm-shifting work, The Knowledge Machine revolutionizes our understanding of the origins and structure of science. • Why is science so powerful? • Why did it take so long—two thousand years after the invention of philosophy and mathematics—for the human race to start using science to learn the secrets of the universe? In a groundbreaking work that blends science, philosophy, and history, leading philosopher of science Michael Strevens answers these challenging questions, showing how science came about only once thinkers stumbled upon the astonishing idea that scientific breakthroughs could be accomplished by breaking the rules of logical argument. Like such classic works as Karl Popper’s The Logic of Scientific Discovery and Thomas Kuhn’s The Structure of Scientific Revolutions, The Knowledge Machine grapples with the meaning and origins of science, using a plethora of vivid historical examples to demonstrate that scientists willfully ignore religion, theoretical beauty, and even philosophy to embrace a constricted code of argument whose very narrowness channels unprecedented energy into empirical observation and experimentation. Strevens calls this scientific code the iron rule of explanation, and reveals the way in which the rule, precisely because it is unreasonably close-minded, overcomes individual prejudices to lead humanity inexorably toward the secrets of nature. “With a mixture of philosophical and historical argument, and written in an engrossing style” (Alan Ryan), The Knowledge Machine provides captivating portraits of some of the greatest luminaries in science’s history, including Isaac Newton, the chief architect of modern science and its foundational theories of motion and gravitation; William Whewell, perhaps the greatest philosopher-scientist of the early nineteenth century; and Murray Gell-Mann, discoverer of the quark. Today, Strevens argues, in the face of threats from a changing climate and global pandemics, the idiosyncratic but highly effective scientific knowledge machine must be protected from politicians, commercial interests, and even scientists themselves who seek to open it up, to make it less narrow and more rational—and thus to undermine its devotedly empirical search for truth. Rich with illuminating and often delightfully quirky illustrations, The Knowledge Machine, written in a winningly accessible style that belies the import of its revisionist and groundbreaking concepts, radically reframes much of what we thought we knew about the origins of the modern world.

Essays Towards a Theory of Knowledge

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ISBN 13 :
Total Pages : 140 pages
Book Rating : 4./5 ( download)

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Book Synopsis Essays Towards a Theory of Knowledge by : Alexander Philip

Download or read book Essays Towards a Theory of Knowledge written by Alexander Philip and published by . This book was released on 1915 with total page 140 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Foundations of Knowledge

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Publisher : SUNY Press
ISBN 13 : 9780873950343
Total Pages : 360 pages
Book Rating : 4.9/5 (53 download)

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Book Synopsis Foundations of Knowledge by : E. P. Papanoutsos

Download or read book Foundations of Knowledge written by E. P. Papanoutsos and published by SUNY Press. This book was released on 1968-01-01 with total page 360 pages. Available in PDF, EPUB and Kindle. Book excerpt: "The inquiry into the foundations of knowledge is a systematic inquiry into the problem of truth. This problem constitutes one of the three main concerns of philosophical analysis, the others being the problem of beauty and the problem of goodness." Thus Evangelos P. Papanoutsos, Greece's leading contemporary philosopher, introduces this third book of his "Trilogy of the Mind." The first two volumes covered aesthetics and ethics; this one is a major work in epistemology. Combining rigorous analysis with thorough-going scholarship, displaying an intimate acquaintance with the physical and humanistic sciences, and drawing on a deep understanding of philosophical method and the history of philosophy, Professor Papanoutsos is held in high esteem by his European colleagues. This translation of his masterpiece will enhance his reputation and influence among readers of English. The themes of The Foundation of Knowledge range over the topics that have been continually challenging to the modern era of philosophers: being and consciousness, experience and reason, common sense and science, and the domains of knowledge, including the nature of philosophical knowledge. Special attention is paid to the analysis of theoretical consciousness, the problems of categorical thinking, the theory of judgment, mathematics and logic, and the limits of historical understanding.

The Ecclesiastical Review

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Publisher :
ISBN 13 :
Total Pages : 802 pages
Book Rating : 4.:/5 (89 download)

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Book Synopsis The Ecclesiastical Review by :

Download or read book The Ecclesiastical Review written by and published by . This book was released on 1913 with total page 802 pages. Available in PDF, EPUB and Kindle. Book excerpt:

American Ecclesiastical Review

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Publisher :
ISBN 13 :
Total Pages : 950 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis American Ecclesiastical Review by : Herman Joseph Heuser

Download or read book American Ecclesiastical Review written by Herman Joseph Heuser and published by . This book was released on 1912 with total page 950 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Philosophy

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Publisher :
ISBN 13 :
Total Pages : 282 pages
Book Rating : 4.3/5 (91 download)

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Book Synopsis Philosophy by : Newberry Library

Download or read book Philosophy written by Newberry Library and published by . This book was released on 1922 with total page 282 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Contact with Reality

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Publisher : Wipf and Stock Publishers
ISBN 13 : 1498239846
Total Pages : 320 pages
Book Rating : 4.4/5 (982 download)

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Book Synopsis Contact with Reality by : Esther Lightcap Meek

Download or read book Contact with Reality written by Esther Lightcap Meek and published by Wipf and Stock Publishers. This book was released on 2017-05-05 with total page 320 pages. Available in PDF, EPUB and Kindle. Book excerpt: Is knowledge discovered, or just invented? Can we ever get outside ourselves to know how reality is in itself, independent of us? Philosophical realism raises the question whether in our knowing we connect with an independent reality--or only connect with our own mental constructs. Far from being a silly parlor game, the question impacts our lives concretely and deeply. Modern Western culture has been infected with antirealism and the doubt, skepticism, subjectivism, relativism, and atheism that attends it--not to mention distrust and arbitrary (mis)use of reality. Premier scientist-turned-philosopher Michael Polanyi stepped aside from research to offer an innovative account of knowing that takes its cue from how discovery actually happens. Polanyi defied the antirealism of the twentieth century, sounding a ringing note of hope in his repeated claim that in discovery, we know we have made contact with reality because "we have a sense of the possibility of indeterminate future manifestations." And that sense marks contact with reality, because it is the way reality is: abundant, generous, and fraught with as-yet-unnameable possibilities. This book examines that distinctive claim, contrasting it to the wider philosophical discussions regarding realism and antirealism in the recent decades. It shows why Polanyi's outlook is superior, and why that matters, not just to scientific discoverers, but to us all.

AI Foundations Of Quantum Machine Learning

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Publisher : Green Mountain Computing
ISBN 13 :
Total Pages : 157 pages
Book Rating : 4./5 ( download)

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Book Synopsis AI Foundations Of Quantum Machine Learning by : Jon Adams

Download or read book AI Foundations Of Quantum Machine Learning written by Jon Adams and published by Green Mountain Computing. This book was released on with total page 157 pages. Available in PDF, EPUB and Kindle. Book excerpt: Dive into the cutting-edge intersection of quantum computing and machine learning with "AI Foundations of Quantum Machine Learning." This comprehensive guide invites readers into the exciting world where the realms of artificial intelligence (AI) and quantum mechanics merge, setting the stage for a revolution in AI technologies. With the burgeoning interest in quantum computing's vast potential, this book serves as a beacon, illuminating the intricate concepts and groundbreaking promises of quantum machine learning. Contents Quantum Computing: An Introduction - Begin your journey with a primer on quantum computing, understanding the fundamental quantum mechanics that power advanced data processing. Fundamentals of Machine Learning - Lay the groundwork with an overview of machine learning principles, setting the stage for their quantum leap. Quantum Algorithms for Machine Learning - Discover the transformative potential of quantum algorithms, capable of processing large datasets with unprecedented speed and efficiency. Data Encoding in Quantum Systems - Explore the innovative techniques for encoding data into quantum systems, a crucial step for quantum machine learning. Quantum Machine Learning Models - Delve into the heart of quantum machine learning, examining models that harness quantum mechanics to enhance machine learning capabilities. Training Quantum Neural Networks - Unpack the methodologies for training quantum neural networks, a pioneering approach to AI development. Applications of Quantum Machine Learning - Witness the practical implications of quantum machine learning across various fields, from healthcare to environmental science. Challenges and the Future Landscape - Reflect on the hurdles facing quantum machine learning and envision the future of AI shaped by quantum advancements. Introduction "AI Foundations of Quantum Machine Learning" offers a compelling narrative on the symbiosis of quantum computing and machine learning. Through accessible language and vivid examples, it demystifies complex concepts and showcases the transformative power of quantum technologies in AI. Readers are taken on an enlightening journey, from the basic principles of quantum computing to the forefront of quantum machine learning models and their applications. This book is not merely an academic text; it is a roadmap to the future, encouraging readers to envision a world where AI is redefined by quantum phenomena. Ideal for students, academics, and tech enthusiasts alike, this book bridges the gap between theoretical quantum mechanics and practical machine learning applications. Whether you're looking to understand the basics or explore the future of technology, "AI Foundations of Quantum Machine Learning" is an indispensable resource for anyone eager to grasp the next wave of technological innovation.

The Reform of the Calendar

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Publisher :
ISBN 13 :
Total Pages : 154 pages
Book Rating : 4.A/5 ( download)

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Book Synopsis The Reform of the Calendar by : Alexander Philip

Download or read book The Reform of the Calendar written by Alexander Philip and published by . This book was released on 1914 with total page 154 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Nation

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Publisher :
ISBN 13 :
Total Pages : 646 pages
Book Rating : 4.0/5 ( download)

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Book Synopsis The Nation by :

Download or read book The Nation written by and published by . This book was released on 1913 with total page 646 pages. Available in PDF, EPUB and Kindle. Book excerpt:

The Accountant's Magazine

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Publisher :
ISBN 13 :
Total Pages : 516 pages
Book Rating : 4.:/5 (3 download)

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Book Synopsis The Accountant's Magazine by :

Download or read book The Accountant's Magazine written by and published by . This book was released on 1918 with total page 516 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Books Added

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Publisher :
ISBN 13 :
Total Pages : 718 pages
Book Rating : 4.:/5 (31 download)

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Book Synopsis Books Added by : Chicago Public Library

Download or read book Books Added written by Chicago Public Library and published by . This book was released on 1916 with total page 718 pages. Available in PDF, EPUB and Kindle. Book excerpt:

Informatics for Health Professionals

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Publisher : Jones & Bartlett Learning
ISBN 13 : 1284182096
Total Pages : 488 pages
Book Rating : 4.2/5 (841 download)

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Book Synopsis Informatics for Health Professionals by : Kathleen Mastrian

Download or read book Informatics for Health Professionals written by Kathleen Mastrian and published by Jones & Bartlett Learning. This book was released on 2019-12-19 with total page 488 pages. Available in PDF, EPUB and Kindle. Book excerpt: Informatics for Health Professionals is an excellent resource to provide healthcare students and professionals with the foundational knowledge to integrate informatics principles into practice.

Building the Knowledge Society on the Internet: Sharing and Exchanging Knowledge in Networked Environments

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Publisher : IGI Global
ISBN 13 : 1599048183
Total Pages : 440 pages
Book Rating : 4.5/5 (99 download)

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Book Synopsis Building the Knowledge Society on the Internet: Sharing and Exchanging Knowledge in Networked Environments by : Bolisani, Ettore

Download or read book Building the Knowledge Society on the Internet: Sharing and Exchanging Knowledge in Networked Environments written by Bolisani, Ettore and published by IGI Global. This book was released on 2008-06-30 with total page 440 pages. Available in PDF, EPUB and Kindle. Book excerpt: "In today's networked societies, a key factor of the social and economic success is the capability to exchange, transfer, and share knowledge. This book provides research on the topic providing a foundation of an emerging and multidisciplinary field"--Provided by publisher.