The Simplex Shorthand in Theory & Practice, with ... Notes and Exercises
Author : Khoshru N. Banaji
Publisher :
Page : pages
File Size : 48,39 MB
Release : 1906
Category :
ISBN :
Author : Khoshru N. Banaji
Publisher :
Page : pages
File Size : 48,39 MB
Release : 1906
Category :
ISBN :
Author : Khoshru N. Banaji
Publisher :
Page : 72 pages
File Size : 45,56 MB
Release : 1906
Category :
ISBN :
Author : Jesse George Cross
Publisher :
Page : 134 pages
File Size : 33,76 MB
Release : 1891
Category : Eclectic shorthand
ISBN :
Author : Edwin M. Palmer
Publisher : Kessinger Publishing
Page : 176 pages
File Size : 40,7 MB
Release : 2009-04
Category : History
ISBN : 9781104361051
This scarce antiquarian book is a facsimile reprint of the original. Due to its age, it may contain imperfections such as marks, notations, marginalia and flawed pages. Because we believe this work is culturally important, we have made it available as part of our commitment for protecting, preserving, and promoting the world's literature in affordable, high quality, modern editions that are true to the original work.
Author : Jesse George Cross
Publisher :
Page : 120 pages
File Size : 13,37 MB
Release : 1892
Category :
ISBN :
Author : Sampson Low
Publisher :
Page : 1194 pages
File Size : 24,92 MB
Release : 1898
Category : English imprints
ISBN :
Volumes for 1898-1968 include a directory of publishers.
Author : David J. C. MacKay
Publisher : Cambridge University Press
Page : 694 pages
File Size : 22,72 MB
Release : 2003-09-25
Category : Computers
ISBN : 9780521642989
Information theory and inference, taught together in this exciting textbook, lie at the heart of many important areas of modern technology - communication, signal processing, data mining, machine learning, pattern recognition, computational neuroscience, bioinformatics and cryptography. The book introduces theory in tandem with applications. Information theory is taught alongside practical communication systems such as arithmetic coding for data compression and sparse-graph codes for error-correction. Inference techniques, including message-passing algorithms, Monte Carlo methods and variational approximations, are developed alongside applications to clustering, convolutional codes, independent component analysis, and neural networks. Uniquely, the book covers state-of-the-art error-correcting codes, including low-density-parity-check codes, turbo codes, and digital fountain codes - the twenty-first-century standards for satellite communications, disk drives, and data broadcast. Richly illustrated, filled with worked examples and over 400 exercises, some with detailed solutions, the book is ideal for self-learning, and for undergraduate or graduate courses. It also provides an unparalleled entry point for professionals in areas as diverse as computational biology, financial engineering and machine learning.
Author : Trevor Hastie
Publisher : Springer Science & Business Media
Page : 545 pages
File Size : 40,20 MB
Release : 2013-11-11
Category : Mathematics
ISBN : 0387216065
During the past decade there has been an explosion in computation and information technology. With it have come vast amounts of data in a variety of fields such as medicine, biology, finance, and marketing. The challenge of understanding these data has led to the development of new tools in the field of statistics, and spawned new areas such as data mining, machine learning, and bioinformatics. Many of these tools have common underpinnings but are often expressed with different terminology. This book describes the important ideas in these areas in a common conceptual framework. While the approach is statistical, the emphasis is on concepts rather than mathematics. Many examples are given, with a liberal use of color graphics. It should be a valuable resource for statisticians and anyone interested in data mining in science or industry. The book’s coverage is broad, from supervised learning (prediction) to unsupervised learning. The many topics include neural networks, support vector machines, classification trees and boosting---the first comprehensive treatment of this topic in any book. This major new edition features many topics not covered in the original, including graphical models, random forests, ensemble methods, least angle regression & path algorithms for the lasso, non-negative matrix factorization, and spectral clustering. There is also a chapter on methods for “wide” data (p bigger than n), including multiple testing and false discovery rates. Trevor Hastie, Robert Tibshirani, and Jerome Friedman are professors of statistics at Stanford University. They are prominent researchers in this area: Hastie and Tibshirani developed generalized additive models and wrote a popular book of that title. Hastie co-developed much of the statistical modeling software and environment in R/S-PLUS and invented principal curves and surfaces. Tibshirani proposed the lasso and is co-author of the very successful An Introduction to the Bootstrap. Friedman is the co-inventor of many data-mining tools including CART, MARS, projection pursuit and gradient boosting.
Author : Tor Lattimore
Publisher : Cambridge University Press
Page : 537 pages
File Size : 17,50 MB
Release : 2020-07-16
Category : Business & Economics
ISBN : 1108486827
A comprehensive and rigorous introduction for graduate students and researchers, with applications in sequential decision-making problems.
Author : Emily Riehl
Publisher : Courier Dover Publications
Page : 273 pages
File Size : 49,65 MB
Release : 2017-03-09
Category : Mathematics
ISBN : 0486820807
Introduction to concepts of category theory — categories, functors, natural transformations, the Yoneda lemma, limits and colimits, adjunctions, monads — revisits a broad range of mathematical examples from the categorical perspective. 2016 edition.