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Testing and Tuning Market Trading Systems: Algorithms in C++ by Timothy Masters 9781484241721
RRP: £54.99Booksplease Price: £37.50Build, test, and tune financial, insurance or other market trading systems using C++ algorithms and statistics. You've had an idea and have done some preliminary experiments, and it looks promising... -
Assessing and Improving Prediction and Classification: Theory and Algorithms in C++ by Timothy Masters 9781484233351
RRP: £69.99Booksplease Price: £66.76Assess 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... -
Deep Belief Nets in C++ and CUDA C: Volume 3: Convolutional Nets by Timothy Masters 9781484237205
RRP: £54.99Booksplease Price: £39.02Discover the essential building blocks of a common and powerful form of deep belief network: convolutional nets. This book shows you how the structure of these elegant models is much closer to that... -
Deep Belief Nets in C++ and CUDA C: Volume 2: Autoencoding in the Complex Domain by Timothy Masters 9781484236451
RRP: £49.99Booksplease Price: £34.44Discover 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... -
Deep Belief Nets in C++ and CUDA C: Volume 1: Restricted Boltzmann Machines and Supervised Feedforward Networks by Timothy Masters 9781484235904
RRP: £24.99Booksplease Price: £24.61Discover the essential building blocks of the most common forms of deep belief networks. At each step this book provides intuitive motivation, a summary of the most important equations relevant to... -
Modern Data Mining Algorithms in C++ and CUDA C: Recent Developments in Feature Extraction and Selection Algorithms for Data Science by Timothy Masters 9781484259870
RRP: £54.99Booksplease Price: £42.14Discover a variety of data-mining algorithms that are useful for selecting small sets of important features from among unwieldy masses of candidates, or extracting useful features from measured...