Bibliograph

Machine learning for risk calculations, a practitioner's view, I. Ruiz and M. Zeron ; foreword by P. Karasinski

Type

Label

Machine learning for risk calculations, a practitioner's view, I. Ruiz and M. Zeron ; foreword by P. Karasinski

Language

eng

Bibliography note

Includes bibliographical references and index

Illustrations

illustrations

Index

index present

Literary Form

non fiction

Main title

Machine learning for risk calculations

Nature of contents

bibliography

Oclc number

1264751162

Responsibility statement

I. Ruiz and M. Zeron ; foreword by P. Karasinski

Series statement

Wiley Finance Series

Sub title

a practitioner's view

Summary

"The computational demand of risk calculations in financial institutions has ballooned. Traditionally, this has led to the acquisition of more and more computer power -- some banks have farms in the order of 50,000 CPUs, with running costs in the multimillions of dollars -- but this path is no longer economically or operationally viable. Algorithmic solutions represent a viable way to reduce costs while simultaneously increasing risk calculation capabilities."--, Provided by publisher

Contributor