Machine learning algorithms hold out extraordinary promise, but the reality is that their success depends entirely on the suitability of the data... Læs mere
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
Intermediate user level
An authority on creativity introduces readers to AI-powered computers that are creating art, literature, and music that may well surpass the creations of humans.
Big Data and methods for analyzing large data sets such as machine learning have deeply transformed scientific practice in many fields. This Element defends an inductivist view of big data... Læs mere
The past decade has witnessed extraordinary advances in artificial intelligence. He looks at the ways in which it has... Læs mere
The purpose of this Element is to introduce machine learning (ML) tools that can help asset managers discover economic and financial theories. ML is not a black box, and it does not necessarily overfit. ML tools complement rather than replace the classical statistical methods.
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
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
A substantially revised fourth edition of a comprehensive textbook, including new coverage of recent advances in deep learning and neural networks.