£120.00

World Scientific Publishing Company Statistical Machine Learning With Applications In Finance

Name: Statistical Machine Learning With Applications In Finance
Brand: World Scientific Publishing Company
Price: 120.0 GBP
Availability: InStock

Computing & Internet

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Description

Explore the intersection of data science and financial markets with Statistical Machine Learning With Applications In Finance. Published by World Scientific Publishing Co Pte Ltd, this book serves as a specialized resource for those studying computing and internet subjects within the financial sector. This text focuses on the practical use of machine learning techniques applied to financial data. It provides a foundation for understanding how statistical models can be used to navigate complex financial environments. Whether you are a student or a professional in the computing field, this book offers a focused look at how machine learning theory meets real-world financial applications. By integrating statistical methods with financial logic, this publication helps readers build a better understanding of modern computational finance. It is an essential addition to any library focused on advanced computing, data analysis, and the evolving landscape of financial technology.

Key Features

Focuses on the application of statistical machine learning specifically within the financial industry.

Published by World Scientific Publishing Co Pte Ltd to ensure professional academic standards.

Categorized under Computing and Internet for targeted study in technical fields.

Provides a specialized look at how machine learning models function in financial contexts.

Serves as a technical resource for subjects involving complex data and statistical analysis.

Product Specifications

Brand: World Scientific Publishing Company
Format: hardcover
ASIN: 9811232334
Category: Books > Subjects > Computing & Internet
Domain: Amazon UK
Release Date: 28 February 2027
Listed Since: 04 December 2020

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World Scientific Publishing Company Statistical Machine Learning With Applications In Finance

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