Bemærk: Kan leveres før jul.
How deep learning—from Google Translate to driverless cars to personal cognitive assistants—is changing our lives and transforming every sector of the economy.
Bemærk: Kan leveres før jul.
This practical introduction for final-year undergraduate and graduate students is ideally suited to computer scientists without a background in calculus and... Læs mere
Bemærk: Kan leveres før jul.
Bemærk: Kan leveres før jul.
An introduction to decision making under uncertainty from a computational perspective, covering both theory and applications ranging from speech recognition to airborne collision avoidance.
Bemærk: Kan ikke leveres før jul.
Containing numerous algorithms and major theorems, this step-by-step guide covers the fundamentals of kernel-based learning theory. Including over two hundred... Læs mere
Bemærk: Kan leveres før jul.
Bemærk: Kan leveres før jul.
An introduction to a broad range of topics in deep learning, covering mathematical and conceptual background, deep learning techniques used in industry, and research perspectives.
Bemærk: Kan ikke leveres før jul.
Designed for researchers and graduate students in machine learning, this book introduces the theory of variational Bayesian learning, a popular machine learning... Læs mere
Bemærk: Kan ikke leveres før jul.
The book provides explanations of principles of time-proven machine learning algorithms applied in text mining together with step-by-step... Læs mere
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
Bemærk: Kan ikke leveres før jul.
This book provides an ideal reference to all the medical imaging researchers and professionals to explore their innovative methods and analysis on imaging technologies for better prospective of patient care.