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This book provides a practical introduction to compressive imaging (with examples and code), an overview of core topics, and a comprehensive, rigorous... Læs mere
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This book introduces machine learning in finance and illustrates how to integrate computational tools with numerical finance with real world applications.
Bemærk: Kan leveres før jul.
An intuitive, accessible text explaining the fundamentals and applications of signal processing on graphs. It covers basic and advanced topics, includes numerous... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
This book is a text intended for advanced undergraduates or graduate students which provides theoretical tools for analyzing and designing a large class... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Machine learning algorithms hold out extraordinary promise, but the reality is that their success depends entirely on the suitability of the data... Læs mere
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This is the first rigorous, self-contained treatment of the theory of deep learning. Aimed at scientists, instructors, and students interested in artificial intelligence and... Læs mere
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Decision-making in the face of uncertainty is a challenge in machine learning, and the multi-armed bandit model is a common framework to address it. This comprehensive introduction is... Læs mere
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A groundbreaking, authoritative introduction to how machine learning can be applied to asset pricingInvestors in financial markets are faced with an abundance of... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan leveres før jul.
A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.