Book picks similar to
Conceptual Structures: Information Processing in Mind and Machine by John F. Sowa
egr229
egr229a-a4
logic
technical
How Computers Work
Ron White - 1992
The full-color, detailed illustrations will take you deep inside your PC and show you just how intricate it is. This latest edition has been updated with information on all of the latest technologies, including: PCI Express Bus Serial ATA Connections Digital Photography Software TiVos, Gas Plasma Screens, iPods, and Other Home Entertainment Equipment Google and eBay 3D Game Development, Two-Slot Video Cards, and Overclocking How Computers Work has sold over two million copies world wide. But don't take our word for it � get your copy today!
Mathematics: The Loss of Certainty
Morris Kline - 1980
Mathematics: The Loss of Certainty refutes that myth.
The Elements of Statistical Learning: Data Mining, Inference, and Prediction
Trevor Hastie - 2001
With it has 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. 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 wrote much of the statistical modeling software in 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, and projection pursuit.
D-Day
Peter H. Liddle - 2004
Harrowing and heroic, the events of D-Day were recorded in the personal writings of those who were there. Here, Francis Crosby has compiled a comprehensive collection of previously unpublished letters, diaries, photographs, and reminiscences that tell the story of D-Day as it has never been told before.With the use of new international archives, Crosby has culled vivid and detailed eye-witness accounts from each beach, as well as perspectives from land, sea, and air. This fascinating collection includes entries from American, British, and Canadian troops, the Merchant Navy and the Royal Air Force, and newly available German materials. Also included are contemporary and retrospective reactions of women "in the know" and those whom knew from "unofficial sources" of the immediate imminence of the assault.
Software Architecture: Perspectives on an Emerging Discipline
Mary Shaw - 1996
But, although they use these patterns purposefully, they often use them informally and nearly unconsciously. This book organizes this substantial emerging "folklore" of system design -- with its rich language of system description -- and closes the gap between the useful abstractions (constructs and patterns) of system design and the current models, notations and tools. It identifies useful patterns clearly, gives examples, compares them, and evaluates their utility in various settings -- allowing readers to develop a repertoire of useful techniques that goes beyond the single-minded current fads. KEY TOPICS: Examines the ways in which architectural issues can impact software design; shows how to design new systems in principled ways using well-understood architectural paradigms; emphasizes informal descriptions, touching lightly on formal notations and specifications, and the tools that support them; explains how to understand and evaluate the design of existing software systems from an architectural perspective; and presents concrete examples of actual system architectures that can serve as models for new designs. MARKET: For professional software developers looking for new ideas about system organization.
Feedback Control of Dynamic Systems
Gene F. Franklin - 1986
Highlights of the book include realistic problems and examples from a wide range of application areas. New to this edition are: much sharper pedagogy; an increase in the number of examples; more thorough development of the concepts; a greater range of homework problems; a greater number and variety of worked out examples; expanded coverage of dynamics modelling and Laplace transform topics; and integration of MATLAB, including many examples that are formatted in MATLAB.
The Real History Behind the Da Vinci Code
Sharan Newman - 2005
Millions have been enthralled by The Da Vinci Code's fascinating historical speculations-and the blockbuster novel's audience has also made bestsellers of several books offering to separate the facts from the fiction.This comprehensive, encyclopedic volume is written by an acclaimed medievalist-and takes an objective, history-based approach to the phenomenon and the questions it has raised.The Real History Behind the Da Vinci Code gives easy-to-find, clear answers about the people, places, and events that play roles in Dan Brown's tantalizing thriller in a lively, encyclopedic format-shedding new light on some of the deepest mysteries of the Dark Ages.