{"product_id":"big-data-science-in-finance","title":"Big Data Science in Finance","description":"\u003cp\u003e\u003cb\u003eExplains the mathematics, theory, and methods of Big Data as applied to finance and investing\u003c\/b\u003e\u003c\/p\u003e \u003cp\u003eData science has fundamentally changed Wall Street—applied mathematics and software code are increasingly driving finance and investment-decision tools. \u003ci\u003eBig Data Science in Finance\u003c\/i\u003e 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.\u003c\/p\u003e \u003cp\u003eComprehensive 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:\u003c\/p\u003e \u003cul\u003e\n\u003cli\u003eProvides a complete account of Big Data that includes proofs, step-by-step applications, and code samples\u003c\/li\u003e\n\u003cli\u003eExplains the difference between Principal Component Analysis (PCA) and Singular Value Decomposition (SVD)\u003c\/li\u003e\n\u003cli\u003eCovers vital topics in the field in a clear, straightforward manner\u003c\/li\u003e\n\u003cli\u003eCompares, contrasts, and discusses Big Data and Small Data\u003c\/li\u003e\n\u003cli\u003eIncludes Cornell University-tested educational materials such as lesson plans, end-of-chapter questions, and downloadable lecture slides\u003c\/li\u003e\n\u003c\/ul\u003e \u003cp\u003e\u003ci\u003eBig Data Science in Finance: Mathematics and Applications \u003c\/i\u003eis 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.\u003c\/p\u003e","brand":"John Wiley \u0026 Sons Inc","offers":[{"title":"Default Title","offer_id":54219768234328,"sku":"9781119602989","price":107.99,"currency_code":"EUR","in_stock":true}],"thumbnail_url":"\/\/cdn.shopify.com\/s\/files\/1\/0278\/1295\/4195\/files\/9781119602989.jpg?v=1780382766","url":"https:\/\/agendabookshop.com\/products\/big-data-science-in-finance","provider":"Agenda Bookshop","version":"1.0","type":"link"}