£49.50

Cambridge University Press Cambridge Deep Learning in Quantitative Trading Book

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£54.59 £48.99 £50.21 £51.43 £52.66 £53.88 £55.10 09 June 2026 30 June 2026 22 July 2026 12 August 2026 03 September 2026

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Description

Master the intersection of artificial intelligence and finance with this comprehensive guide from Cambridge University Press. This Element provides a structured approach to understanding deep learning specifically for quantitative trading applications. Readers will navigate a two-part curriculum designed to build expertise from the ground up. The first section covers the essentials of financial time-series and supervised learning, exploring a wide range of network architectures from basic feedforward models to state-of-the-art systems. You will learn a complete workflow for managing complex real-world data, including initial data analysis and specialized cross-validation techniques designed to prevent overfitting in financial contexts. The second part of the book transitions from theory to practice by applying these deep learning methods to trading scenarios. This resource is built for professionals and students looking to bridge the gap between foundational machine learning theory and practical financial implementation. By following this structured path, you gain the tools necessary to handle the unique challenges of financial data modeling and algorithmic strategy development.

Key Features

Covers foundational theory of financial time-series and supervised learning to build a strong technical base.

Explores various network architectures ranging from standard feedforward models to modern state-of-the-art systems.

Provides a complete data workflow including initial analysis to ensure model readiness for financial markets.

Includes specialized cross-validation techniques specifically tailored to mitigate overfitting on real-world financial data.

Connects theoretical deep learning methods directly to practical quantitative trading applications.

Product Specifications

Format
hardcover
Domain
Amazon UK
Release Date
30 October 2025
Listed Since
20 June 2025

Barcode

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