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Wiley Machine Learning for Risk Calculations Book

Amazon

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Description

As computational demands for risk calculations in financial institutions continue to grow, traditional methods of increasing computing power are no longer sufficient. This Wiley Finance Series book offers a practical approach to managing these rising costs through advanced algorithmic solutions. By focusing on deep learning and Chebyshev tensors, this practitioner's guide provides the tools necessary to increase risk calculation capabilities while reducing operational expenses. It offers an in-depth review of state-of-the-art algorithmic deep learning and tensoring techniques specifically designed for the modern financial landscape. This resource is essential for professionals looking to implement efficient, high-performance mathematical solutions in a high-demand environment.

Key Features

This Wiley Finance Series book provides an in-depth review of algorithmic deep learning and tensoring techniques.

Learn to use Chebyshev tensors to reduce costs while increasing risk calculation capabilities for financial institutions.

Address the growing computational demands of financial risk management with state-of-the-art algorithmic solutions.

The text offers a practitioner's view on implementing deep learning to manage ballooning risk calculation needs.

Product Specifications

Brand
Wiley
Format
hardcover
Domain
Amazon UK
Release Date
03 January 2022
Listed Since
29 January 2021

Barcode

No barcode data available

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