Perl: The Complete Reference. Second Edition

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Perl: The Complete Reference. Second Edition

Perl: The Complete Reference. Second Edition
Osborne | ISBN: 0072194251 | 1249 pages | 3.4 MB | PDF

The idea of this book is to provide a reference guide to everything you could possibly want to know about Perl. I’ve done my best to try and cover all the different aspects, from the core of the language to the different functions, and on into the different tasks and areas of the Perl language. I even cover how to debug your software, write documentation, and then build and distribute your applications or modules to the world at large. Along the way, we also look at some nonstandard features and extensions, including better ways of networking, web programming, and designing interfaces. Throughout the entire book, you’ll find real-world examples and guides on how to approach real problems using Perl—not just how to use the features of Perl.
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Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics)

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Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics)

Permutation, Parametric, and Bootstrap Tests of Hypotheses (Springer Series in Statistics)
Springer | ISBN 038720279X | 2004-12-01 | PDF | 376 pages | 2.31 MB

This book provides a step-by-step manual on the application of permutation tests in biology, business, medicine, science, and engineering. Its intuitive and informal style will ideally suit it as a text for students and researchers whether experienced or coming to these resampling methods for the first time. The real-world problems of missing and censored data, multiple comparisons, nonresponders, after-the-fact covariates, and outliers are dealt with at length.
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Simon S. Haykin, “Kalman Filtering and Neural Networks”

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Simon Haykin - Kalman Filtering and Neural Networks

Simon S. Haykin, “Kalman Filtering and Neural Networks”
Wiley InterScience | ISBN 0471221546 (electronic) | 2001 | 284 pages | PDF | 4 MB RAR’ed

Book Description
State-of-the-art coverage of Kalman filter methods for the design of neural networks

This self-contained book consists of seven chapters by expert contributors that discuss Kalman filtering as applied to the training and use of neural networks. Although the traditional approach to the subject is almost always linear, this book recognizes and deals with the fact that real problems are most often nonlinear.
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Relativity: The Special and the General Theory, The Masterpiece Science Edition

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Relativity: The Special and the General Theory, The Masterpiece Science Edition

Relativity: The Special and the General Theory, The Masterpiece Science Edition
Pi Press | ISBN 0131862618| 2005-04-05 | PDF | 288 pages | 1.69 MB

From the Commentary by Robert Geroch (The corresponding section of Einstein’s text can be found below the comment. Please note that in the book, the Commentary is placed after the complete text of Relativity.)
Section 17. Space-Time Continue reading…

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