Machine Learning Projects for .NET Developers shows you how to build smarter .NET applications that learn from data, using simple algorithms and techniques that can be applied to a wide range of real-world problems. You’ll code each project in the familiar setting of Visual Studio, while the machine learning logic uses F#, a...
Transform Average Employees into Powerhouse Performers
“I cannot think of a more important message and timely book. 20 Minutes to a Top Performer offers quick, simple techniques for managers to improve their effectiveness in communicating with their teams.” Steven Fine, vice president for...
The contributed volume aims to explicate and address the difficulties and challenges for the seamless integration of two core disciplines of computer science, i.e., computational intelligence and data mining. Data Mining aims at the automatic discovery of underlying non-trivial knowledge from datasets by applying intelligent analysis...
We describe in this book, bio-inspired models and applications of hybrid intelligent
systems using soft computing techniques for image analysis and pattern recognition
based on biometrics and other information sources. Soft Computing (SC)
consists of several intelligent computing paradigms, including fuzzy logic, neural
networks,...
This broad text provides a complete overview of most standard statistical methods, including multiple regression, analysis of variance, experimental design, and sampling techniques. Assuming a background of only two years of high school algebra, this book teaches intelligent data analysis and covers the principles of good data collection....
Join author John Zdziarski for a look inside the brilliant minds that have conceived clever new ways to fight spam in all its nefarious forms. This landmark title describes, in-depth, how statistical filtering is being used by next-generation spam filters to identify and filter unwanted messages, how spam filtering works and how language...
