
Machine Learning for Asset Management and Pricing
by Henry Schellhorn, Tianmin Kong (2020)
Like 'Deep Learning in Asset Pricing', this book explores machine learning applications in finance and asset pricing.

by Francesco A. Fabozzi, PhD (2018)
In recent years, deep learning has fundamentally changed the landscapes of a number of areas in artificial intelligence, including speech, vision, natural language, robotics, and game playing. In particular, the striking success of deep learning in a wide variety of natural language processing (NLP) applications has served as a benchmark for the advances in one of the most important tasks in artificial intelligence. This book reviews the state of the art of deep learning research and its successful applications to major NLP tasks, including speech recognition and understanding, dialogue systems, lexical analysis, parsing, knowledge graphs, machine translation, question answering, sentiment analysis, social computing, and natural language generation from images. Outlining and analyzing various research frontiers of NLP in the deep learning era, it features self-contained, comprehensive chapters written by leading researchers in the field. A glossary of technical terms and commonly used acronyms in the intersection of deep learning and NLP is also provided. The book appeals to advanced undergraduate and graduate students, post-doctoral researchers, lecturers and industrial researchers, as well as anyone interested in deep learning and natural language processing.
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by Henry Schellhorn, Tianmin Kong (2020)
Like 'Deep Learning in Asset Pricing', this book explores machine learning applications in finance and asset pricing.

by Stefan Nagel (2020)
This book, much like 'Deep Learning in Asset Pricing', delves into ML techniques for asset valuation and financial markets.

by Luyang Chen, Markus Pelger, Jason Zhu (2018)
This is the book you liked. It focuses on using deep neural networks for asset pricing models.

by Marcos Lopez de Prado (2018)
Similar to 'Deep Learning in Asset Pricing', this book offers practical ML applications and advanced techniques in finance.

by Steve Bell (2004)
While less technical than 'Deep Learning in Asset Pricing', this offers a foundational understanding of quantitative finance concepts.
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