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Shulph Ink

Handbook of Alternative Data in Finance, Volume I

Handbook of Alternative Data in Finance, Volume I

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This book provides a comprehensive overview of advanced quantitative methods in finance, covering topics such as machine learning, fintech, and risk management. It is suitable for professional quantitative analysts and researchers in financial mathematics.

Format: Hardback
Length: 576 pages
Publication date: 12 July 2023
Publisher: Taylor & Francis Ltd


Experience the cutting-edge applications of machine learning, fintech, and more in this comprehensive and invaluable resource. Whether you're a professional quantitative analyst or a postgraduate or researcher in financial mathematics, this book is your ultimate guide. Packed with chapters from renowned experts in the field, it offers a wealth of knowledge and insights that will enhance your understanding and expertise. From advanced algorithms to real-world case studies, this book covers it all, providing you with the tools and techniques you need to succeed in today's competitive landscape. Don't miss out on this essential resource for anyone seeking to stay ahead of the curve in the world of finance and technology.

Experience the cutting-edge applications of machine learning, fintech, and more in this comprehensive and invaluable resource. Whether you're a professional quantitative analyst or a postgraduate or researcher in financial mathematics, this book is your ultimate guide. Packed with chapters from renowned experts in the field, it offers a wealth of knowledge and insights that will enhance your understanding and expertise. From advanced algorithms to real-world case studies, this book covers it all, providing you with the tools and techniques you need to succeed in today's competitive landscape. Don't miss out on this essential resource for anyone seeking to stay ahead of the curve in the world of finance and technology.

Weight: 1230g
Dimension: 254 x 178 (mm)
ISBN-13: 9781032276489

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