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.
A groundbreaking introductory textbook covering the linear algebra methods needed for data science and engineering applications.... Læs mere
Integrating theory, history, and real-world case studies, this book offers a first-of-its-kind overview of the discipline behind the transformation of the production and economics of... Læs mere
A concise and self-contained introduction to causal inference, increasingly important in data science and machine learning.
This book provides practical examples of machine learning applied to science to help researchers make an informed choice about using the method in chemistry.