Assess the quality of your prediction and classification models in ways that accurately reflect their real-world performance, and then improve this performance using state-of-the-art algorithms such as committee-based decision making,...

Discover the essential building blocks of a common and powerful form of deep belief net: the autoencoder. You'll take this topic beyond current usage by extending it to the complex domain for signal and image processing applications....

Discover hidden relationships among the variables in your data, and learn how to exploit these relationships. This book presents a collection of data-mining algorithms that are effective in a wide variety of prediction and classification...

Das Buch "Statistically Sound Machine Learning for Algorithmic Trading of Financial Instruments" von Timothy Masters ist ein umfassender Leitfaden für die Entwicklung und Implementierung von algorithmischen Handelssystemen mit Hilfe der...