The Foundations of Science
Author: Henri Poincaré
Publisher:
Published: 1913
Total Pages: 594
ISBN-13:
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Author: Henri Poincaré
Publisher:
Published: 1913
Total Pages: 594
ISBN-13:
DOWNLOAD EBOOKAuthor: Henri Poincaré
Publisher:
Published: 1905
Total Pages: 238
ISBN-13:
DOWNLOAD EBOOKAuthor: Henri Poincaré
Publisher: DigiCat
Published: 2022-08-01
Total Pages: 556
ISBN-13:
DOWNLOAD EBOOKDigiCat Publishing presents to you this special edition of "The Foundations of Science: Science and Hypothesis, The Value of Science, Science and Method" by Henri Poincaré. DigiCat Publishing considers every written word to be a legacy of humankind. Every DigiCat book has been carefully reproduced for republishing in a new modern format. The books are available in print, as well as ebooks. DigiCat hopes you will treat this work with the acknowledgment and passion it deserves as a classic of world literature.
Author: HENRI. POINCARE
Publisher:
Published: 2018
Total Pages: 0
ISBN-13: 9781033091470
DOWNLOAD EBOOKAuthor: National Academies of Sciences, Engineering, and Medicine
Publisher: National Academies Press
Published: 2019-10-20
Total Pages: 257
ISBN-13: 0309486165
DOWNLOAD EBOOKOne of the pathways by which the scientific community confirms the validity of a new scientific discovery is by repeating the research that produced it. When a scientific effort fails to independently confirm the computations or results of a previous study, some fear that it may be a symptom of a lack of rigor in science, while others argue that such an observed inconsistency can be an important precursor to new discovery. Concerns about reproducibility and replicability have been expressed in both scientific and popular media. As these concerns came to light, Congress requested that the National Academies of Sciences, Engineering, and Medicine conduct a study to assess the extent of issues related to reproducibility and replicability and to offer recommendations for improving rigor and transparency in scientific research. Reproducibility and Replicability in Science defines reproducibility and replicability and examines the factors that may lead to non-reproducibility and non-replicability in research. Unlike the typical expectation of reproducibility between two computations, expectations about replicability are more nuanced, and in some cases a lack of replicability can aid the process of scientific discovery. This report provides recommendations to researchers, academic institutions, journals, and funders on steps they can take to improve reproducibility and replicability in science.
Author: Henri Poincaré
Publisher:
Published: 1958
Total Pages: 180
ISBN-13:
DOWNLOAD EBOOKJules Henri Poincaré was a French mathematician, theoretical physicist, engineer, and philosopher of science. He is often described as a polymath, and in mathematics as "The Last Universalist," since he excelled in all fields of the discipline as it existed during his lifetime.
Author: Henri Poincaré
Publisher: DigiCat
Published: 2022-08-10
Total Pages: 47
ISBN-13:
DOWNLOAD EBOOK"The New Mechanics" is a 1908 book on theoretical physics by the renowned physicist and mathematician Henri Poincare. It covers the broad topics of Mechanics and Radium; Mechanics and Optics; and The New Mechanics and Astronomy. His assertion at the time is that some of the well-known physics theories were about to be challenged with more recent discoveries of his time.
Author: Avrim Blum
Publisher: Cambridge University Press
Published: 2020-01-23
Total Pages: 433
ISBN-13: 1108617360
DOWNLOAD EBOOKThis book provides an introduction to the mathematical and algorithmic foundations of data science, including machine learning, high-dimensional geometry, and analysis of large networks. Topics include the counterintuitive nature of data in high dimensions, important linear algebraic techniques such as singular value decomposition, the theory of random walks and Markov chains, the fundamentals of and important algorithms for machine learning, algorithms and analysis for clustering, probabilistic models for large networks, representation learning including topic modelling and non-negative matrix factorization, wavelets and compressed sensing. Important probabilistic techniques are developed including the law of large numbers, tail inequalities, analysis of random projections, generalization guarantees in machine learning, and moment methods for analysis of phase transitions in large random graphs. Additionally, important structural and complexity measures are discussed such as matrix norms and VC-dimension. This book is suitable for both undergraduate and graduate courses in the design and analysis of algorithms for data.
Author: Henri Poincare
Publisher: Andesite Press
Published: 2015-08-11
Total Pages: 576
ISBN-13: 9781296708085
DOWNLOAD EBOOKThis work has been selected by scholars as being culturally important, and is part of the knowledge base of civilization as we know it. This work was reproduced from the original artifact, and remains as true to the original work as possible. Therefore, you will see the original copyright references, library stamps (as most of these works have been housed in our most important libraries around the world), and other notations in the work. This work is in the public domain in the United States of America, and possibly other nations. Within the United States, you may freely copy and distribute this work, as no entity (individual or corporate) has a copyright on the body of the work.As a reproduction of a historical artifact, this work may contain missing or blurred pages, poor pictures, errant marks, etc. Scholars believe, and we concur, that this work is important enough to be preserved, reproduced, and made generally available to the public. We appreciate your support of the preservation process, and thank you for being an important part of keeping this knowledge alive and relevant.
Author: Henri Poincaré
Publisher:
Published: 1946
Total Pages: 553
ISBN-13: 9780819123190
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