Big Data Science in Finance [#219400]

Big Data Science in Finance by Irene Aldridge
English | ISBN: 111960298X | 336 pages | EPUB | January 8, 2021 | 47 Mb
Explains the mathematics, theory, and methods of Big Data as applied to finance and investing
Data science has fundamentally changed Wall Street-applied mathematics and software code are increasingly driving finance and investment-decision tools. Big Data Science in Finance examines the mathematics, theory, and practical use of the revolutionary techniques that are transforming the industry. Designed for mathematically-advanced students and discerning financial practitioners alike, this energizing book presents new, cutting-edge content based on world-class research taught in the leading Financial Mathematics and Engineering programs in the world. Marco Avellaneda, a leader in quantitative finance, and quantitative methodology author Irene Aldridge help readers harness the power of Big Data.
Comprehensive in scope, this book offers in-depth instruction on how to separate signal from noise, how to deal with missing data values, and how to utilize Big Data techniques in decision-making. Key topics include data clustering, data storage optimization, Big Data dynamics, Monte Carlo methods and their applications in Big Data analysis, and more. This valuable book:
Provides a complete account of Big Data that includes proofs, step-by-step applications, and code samples
Explains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD)
Covers vital topics in the field in a clear, straightforward manner
Compares, contrasts, and discusses Big Data and Small Data
Includes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides
Big Data Science in Finance: Mathematics and Applications is an important, up-to-date resource for students in economics, econometrics, finance, applied mathematics, industrial engineering, and business courses, and for investment managers, quantitative traders, risk and portfolio managers, and other financial practitioners.
>>Come Visit My Blog<<
Buy Premium From My Links To Get Resumable Support,Max Speed & Support Me

https://rapidgator.net/file/25fcd5d16d78e694ed7c073d45e15610/o3qgh.Big.Data.Science.in.Finance.rar.html
⚠️ Dead Link ?
You may submit a re-upload request using the search feature.
All requests are reviewed in accordance with our Content Policy.
Significant surge in the popularity of free ebook download platforms. These virtual repositories offer an unparalleled range, covering genres that span from classic literature to contemporary non-fiction, and everything in between. Enthusiasts of reading can easily indulge in their passion by accessing free books download online services, which provide instant access to a wealth of knowledge and stories without the physical constraints of space or the financial burden of purchasing hardcover editions.
Comments (0)
Users of Guests are not allowed to comment this publication.