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Gro E Denker In 60 Minuten Band 3


Gro E Denker In 60 Minuten Band 3
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Conference Proceedings Ict For Language Learning


Conference Proceedings Ict For Language Learning
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Author : Pixel
language : en
Publisher: libreriauniversitaria.it Edizioni
Release Date : 2014

Conference Proceedings Ict For Language Learning written by Pixel and has been published by libreriauniversitaria.it Edizioni this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014 with Education categories.




Reinforcement Learning Second Edition


Reinforcement Learning Second Edition
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Author : Richard S. Sutton
language : en
Publisher: MIT Press
Release Date : 2018-11-13

Reinforcement Learning Second Edition written by Richard S. Sutton and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2018-11-13 with Computers categories.


The significantly expanded and updated new edition of a widely used text on reinforcement learning, one of the most active research areas in artificial intelligence. Reinforcement learning, one of the most active research areas in artificial intelligence, is a computational approach to learning whereby an agent tries to maximize the total amount of reward it receives while interacting with a complex, uncertain environment. In Reinforcement Learning, Richard Sutton and Andrew Barto provide a clear and simple account of the field's key ideas and algorithms. This second edition has been significantly expanded and updated, presenting new topics and updating coverage of other topics. Like the first edition, this second edition focuses on core online learning algorithms, with the more mathematical material set off in shaded boxes. Part I covers as much of reinforcement learning as possible without going beyond the tabular case for which exact solutions can be found. Many algorithms presented in this part are new to the second edition, including UCB, Expected Sarsa, and Double Learning. Part II extends these ideas to function approximation, with new sections on such topics as artificial neural networks and the Fourier basis, and offers expanded treatment of off-policy learning and policy-gradient methods. Part III has new chapters on reinforcement learning's relationships to psychology and neuroscience, as well as an updated case-studies chapter including AlphaGo and AlphaGo Zero, Atari game playing, and IBM Watson's wagering strategy. The final chapter discusses the future societal impacts of reinforcement learning.



Ant Colony Optimization


Ant Colony Optimization
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Author : Marco Dorigo
language : en
Publisher: MIT Press
Release Date : 2004-06-04

Ant Colony Optimization written by Marco Dorigo and has been published by MIT Press this book supported file pdf, txt, epub, kindle and other format this book has been release on 2004-06-04 with Computers categories.


An overview of the rapidly growing field of ant colony optimization that describes theoretical findings, the major algorithms, and current applications. The complex social behaviors of ants have been much studied by science, and computer scientists are now finding that these behavior patterns can provide models for solving difficult combinatorial optimization problems. The attempt to develop algorithms inspired by one aspect of ant behavior, the ability to find what computer scientists would call shortest paths, has become the field of ant colony optimization (ACO), the most successful and widely recognized algorithmic technique based on ant behavior. This book presents an overview of this rapidly growing field, from its theoretical inception to practical applications, including descriptions of many available ACO algorithms and their uses. The book first describes the translation of observed ant behavior into working optimization algorithms. The ant colony metaheuristic is then introduced and viewed in the general context of combinatorial optimization. This is followed by a detailed description and guide to all major ACO algorithms and a report on current theoretical findings. The book surveys ACO applications now in use, including routing, assignment, scheduling, subset, machine learning, and bioinformatics problems. AntNet, an ACO algorithm designed for the network routing problem, is described in detail. The authors conclude by summarizing the progress in the field and outlining future research directions. Each chapter ends with bibliographic material, bullet points setting out important ideas covered in the chapter, and exercises. Ant Colony Optimization will be of interest to academic and industry researchers, graduate students, and practitioners who wish to learn how to implement ACO algorithms.



Astrophysics For Young People In A Hurry


Astrophysics For Young People In A Hurry
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Author : Neil deGrasse Tyson
language : en
Publisher: W. W. Norton & Company
Release Date : 2019-02-05

Astrophysics For Young People In A Hurry written by Neil deGrasse Tyson and has been published by W. W. Norton & Company this book supported file pdf, txt, epub, kindle and other format this book has been release on 2019-02-05 with Juvenile Nonfiction categories.


Neil deGrasse Tyson’s #1 New York Times best-selling guide to the cosmos, adapted for young readers. From the basics of physics to big questions about the nature of space and time, celebrated astrophysicist and science communicator Neil deGrasse Tyson breaks down the mysteries of the cosmos into bite-sized pieces. Astrophysics for Young People in a Hurry describes the fundamental rules and unknowns of our universe clearly—and with Tyson’s characteristic wit, there’s a lot of fun thrown in, too. This adaptation by Gregory Mone includes full-color photos, infographics, and extra explanations to make even the trickiest concepts accessible. Building on the wonder inspired by outer space, Astrophysics for Young People in a Hurry introduces an exciting field and the principles of scientific inquiry to young readers.



Tv Guide


Tv Guide
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Author :
language : en
Publisher:
Release Date : 1962

Tv Guide written by and has been published by this book supported file pdf, txt, epub, kindle and other format this book has been release on 1962 with Television programs categories.




Bayesian Inference In Statistical Analysis


Bayesian Inference In Statistical Analysis
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Author : George E. P. Box
language : en
Publisher: John Wiley & Sons
Release Date : 2011-01-25

Bayesian Inference In Statistical Analysis written by George E. P. Box and has been published by John Wiley & Sons this book supported file pdf, txt, epub, kindle and other format this book has been release on 2011-01-25 with Mathematics categories.


Its main objective is to examine the application and relevance of Bayes' theorem to problems that arise in scientific investigation in which inferences must be made regarding parameter values about which little is known a priori. Begins with a discussion of some important general aspects of the Bayesian approach such as the choice of prior distribution, particularly noninformative prior distribution, the problem of nuisance parameters and the role of sufficient statistics, followed by many standard problems concerned with the comparison of location and scale parameters. The main thrust is an investigation of questions with appropriate analysis of mathematical results which are illustrated with numerical examples, providing evidence of the value of the Bayesian approach.



Machine Learning Meets Quantum Physics


Machine Learning Meets Quantum Physics
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Author : Kristof T. Schütt
language : en
Publisher: Springer Nature
Release Date : 2020-06-03

Machine Learning Meets Quantum Physics written by Kristof T. Schütt and has been published by Springer Nature this book supported file pdf, txt, epub, kindle and other format this book has been release on 2020-06-03 with Science categories.


Designing molecules and materials with desired properties is an important prerequisite for advancing technology in our modern societies. This requires both the ability to calculate accurate microscopic properties, such as energies, forces and electrostatic multipoles of specific configurations, as well as efficient sampling of potential energy surfaces to obtain corresponding macroscopic properties. Tools that can provide this are accurate first-principles calculations rooted in quantum mechanics, and statistical mechanics, respectively. Unfortunately, they come at a high computational cost that prohibits calculations for large systems and long time-scales, thus presenting a severe bottleneck both for searching the vast chemical compound space and the stupendously many dynamical configurations that a molecule can assume. To overcome this challenge, recently there have been increased efforts to accelerate quantum simulations with machine learning (ML). This emerging interdisciplinary community encompasses chemists, material scientists, physicists, mathematicians and computer scientists, joining forces to contribute to the exciting hot topic of progressing machine learning and AI for molecules and materials. The book that has emerged from a series of workshops provides a snapshot of this rapidly developing field. It contains tutorial material explaining the relevant foundations needed in chemistry, physics as well as machine learning to give an easy starting point for interested readers. In addition, a number of research papers defining the current state-of-the-art are included. The book has five parts (Fundamentals, Incorporating Prior Knowledge, Deep Learning of Atomistic Representations, Atomistic Simulations and Discovery and Design), each prefaced by editorial commentary that puts the respective parts into a broader scientific context.



Dietary Fiber


Dietary Fiber
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Author : David Kritchevsky
language : en
Publisher: Springer Science & Business Media
Release Date : 2012-12-06

Dietary Fiber written by David Kritchevsky and has been published by Springer Science & Business Media this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-12-06 with Technology & Engineering categories.


Twenty years ago the very idea of an international conference on the fiber contained in plant food would have been totally inconceivable. At that time fiber was generally viewed as an inert component of food of no nutritional value and consequently consid ered as a contaminant, the removal of which would enhance the purity of a product. It was measured by a now obsolete and almost worthless test introduced in the last century for veterinary rather than human nutrition, and what was measured was referred to as "crude fiber," containing part of the cellulose and lignin but none of the numerous components of fiber now known to play important roles in the maintenance of health. There were a few lone voices prior to the last two decades who had extolled the laxative properties of the undigested portion of food, assuming that these were related to its irritant action on the bowel mucosa. In retrospect this was a total misconception, and "softage" would have been a more appropriate term than "roughage," since its presence insured soft, not irritating, colon content.



Hr From The Outside In Six Competencies For The Future Of Human Resources


Hr From The Outside In Six Competencies For The Future Of Human Resources
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Author : David Ulrich
language : en
Publisher: McGraw Hill Professional
Release Date : 2012-07-20

Hr From The Outside In Six Competencies For The Future Of Human Resources written by David Ulrich and has been published by McGraw Hill Professional this book supported file pdf, txt, epub, kindle and other format this book has been release on 2012-07-20 with Business & Economics categories.


“This definitive work on HR competencies provides ideas and tools that help HR professionals develop their career and make their organization effective.” —Edward E. Lawler III, Professor, University of Southern California “This book is a crucial blueprint of what it takes to succeed. A must have for every HR professional.” —Lynda Gratton, Professor, London Business School “One single concept changed the HR world forever: ‘HR business partner’. Through consistent cycles of research and practical application, Dave and his team have produced and update the most comprehensive set of HR competencies ever.” —Horacio Quiros, President, World Federation of People Management Associations "Packed with facts, evidence, and prescriptive advice. It is about being a business leader first, and an HR professional second.” —Randy MacDonald, Senior Vice President, Human Resources, IBM Corporation "The concepts and competencies presented in this book provide HR leaders with new insights." —Gina Qiao, Senior Vice President, HR Lenovo “Powerful, relevant and timely! Defines "new HR" in a pragmatic way. This book is a must for leaders and HR folks who seek to create sustainable competitive advantage.” —Satish Pradhan, Chief, Group Human Resources, Tata Sons Limited “You can’t argue with the data! This book is a definitive and practical guide to learning the HR competencies for success.” —John Lynch, Senior Vice President, HR, General Electric “A must read for any HR executive. This research-based competency model is particularly compelling because it is informed by the perspective of non-HR executives and stakeholders.” —Sue Meisinger, Distinguished speaker and author, former CEO of SHRM "Read this book for a unique long-term perspective on where HR competencies have brought us and must take us in future." —John Boudreau, Professor, University of Southern California and Research Director, Center for Effective Organizations



Automatic Speech Recognition


Automatic Speech Recognition
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Author : Dong Yu
language : en
Publisher: Springer
Release Date : 2014-11-11

Automatic Speech Recognition written by Dong Yu and has been published by Springer this book supported file pdf, txt, epub, kindle and other format this book has been release on 2014-11-11 with Technology & Engineering categories.


This book provides a comprehensive overview of the recent advancement in the field of automatic speech recognition with a focus on deep learning models including deep neural networks and many of their variants. This is the first automatic speech recognition book dedicated to the deep learning approach. In addition to the rigorous mathematical treatment of the subject, the book also presents insights and theoretical foundation of a series of highly successful deep learning models.