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This book describes the important ideas in a variety of fields such as medicine, biology, finance, and marketing 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 colour graphics. It is 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 factorisation, and spectral clustering. There is also a chapter on methods for "wide'' data (p bigger than n), including multiple testing and false discovery rates.
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SIP SecurityThis book gives a detailed overview of SIP specific security issues and how to solve them
While the standards and products for VoIP and SIP services have reached market maturity, security and regulatory aspects of such services are still being discussed. SIP itself specifies only a basic set of security mechanisms... | | | | 97 Things Every Programmer Should Know: Collective Wisdom from the Experts
Programmers have a lot on their minds . Programming languages, programming techniques, development environments, coding style, tools, development process, deadlines, meetings, software architecture, design patterns, team dynamics, code, requirements, bugs, code quality. And more. A lot. There is an art, craft, and science to programming that... |
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