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Añadir al carritoHardback or Cased Book. Condición: New. Financial Statistics and Data Analytics 1.54. Book.
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Añadir al carritoHRD. Condición: New. New Book. Shipped from UK. Established seller since 2000.
Librería: Ria Christie Collections, Uxbridge, Reino Unido
EUR 68,48
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Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Añadir al carritoCondición: New. KlappentextrnrnModern financial management is largely about risk management, which is increasingly data-driven. The problem is how to extract information from the data overload. It is here that advanced statistical and machine learning technique.
Librería: GreatBookPrices, Columbia, MD, Estados Unidos de America
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Librería: moluna, Greven, Alemania
EUR 57,35
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Añadir al carritoCondición: New. An essential introduction to data analytics and Machine Learning techniques in the business sectorIn Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, ex.
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EUR 68,68
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Añadir al carritoHardback. Condición: New. New copy - Usually dispatched within 4 working days. 1179.
Librería: GreatBookPricesUK, Woodford Green, Reino Unido
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Librería: AHA-BUCH GmbH, Einbeck, Alemania
EUR 71,67
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Añadir al carritoBuch. Condición: Neu. Neuware - An essential introduction to data analytics and Machine Learning techniques in the business sectorIn Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial problems. Each chapter is equipped with derivations and proofs--especially of key results--and includes several realistic examples which stem from common financial contexts. The computer algorithms in the book are implemented using Python and R, two of the most widely used programming languages for applied science and in academia and industry, so that readers can implement the relevant models and use the programs themselves.The book begins with a brief introduction to basic sampling theory and the fundamentals of simulation techniques, followed by a comparison between R and Python. It then discusses statistical diagnosis for financial security data and introduces some common tools in financial forensics such as Benford's Law, Zipf's Law, and anomaly detection. The statistical estimation and Expectation-Maximization (EM) & Majorization-Minimization (MM) algorithms are also covered. The book next focuses on univariate and multivariate dynamic volatility and correlation forecasting, and emphasis is placed on the celebrated Kelly's formula, followed by a brief introduction to quantitative risk management and dependence modelling for extremal events. A practical topic on numerical finance for traditional option pricing and Greek computations immediately follows as well as other important topics in financial data-driven aspects, such as Principal Component Analysis (PCA) and recommender systems with their applications, as well as advanced regression learners such as kernel regression and logistic regression, with discussions on model assessment methods such as simple Receiver Operating Characteristic (ROC) curves and Area Under Curve (AUC) for typical classification problems.The book then moves on to other commonly used machine learning tools like linear classifiers such as perceptrons and their generalization, the multilayered counterpart (MLP), Support Vector Machines (SVM), as well as Classification and Regression Trees (CART) and Random Forests. Subsequent chapters focus on linear Bayesian learning, including well-received credibility theory in actuarial science and functional kernel regression, and non-linear Bayesian learning, such as the Naïve Bayes classifier and the Comonotone-Independence Bayesian Classifier (CIBer) recently independently developed by the authors and used successfully in InsurTech.After an in-depth discussion on cluster analyses such as K-means clustering and its inversion, the K-nearest neighbor (KNN) method, the book concludes by introducing some useful deep neural networks for FinTech, like the potential use of the Long-Short Term Memory model (LSTM) for stock price prediction.This book can help readers become well-equipped with the following skills:\* To evaluate financial and insurance data quality, and use the distilled knowledge obtained from the data after applying data analytic tools to make timely financial decisions\* To apply effective data dimension reduction tools to enhance supervised learning\* To describe and select suitable data analytic tools as introduced above for a given dataset depending upon classification or regression prediction purposeThe book covers the competencies tested by several professional examinatio.
Librería: Biblios, Frankfurt am main, HESSE, Alemania
EUR 71,43
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Librería: Revaluation Books, Exeter, Reino Unido
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Añadir al carritoHardcover. Condición: Brand New. 512 pages. 7.13x2.28x9.84 inches. In Stock.
Librería: Kennys Bookshop and Art Galleries Ltd., Galway, GY, Irlanda
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Añadir al carritoCondición: New. 2024. 1st Edition. hardcover. . . . . .
Librería: Basi6 International, Irving, TX, Estados Unidos de America
EUR 67,82
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Añadir al carritoCondición: Brand New. New. US edition. Expediting shipping for all USA and Europe orders excluding PO Box. Excellent Customer Service.
Librería: Books Puddle, New York, NY, Estados Unidos de America
EUR 87,96
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Añadir al carritoCondición: New. pp. 232.
Publicado por John Wiley & Sons Inc, New York, 2024
ISBN 10: 1119863376 ISBN 13: 9781119863373
Idioma: Inglés
Librería: CitiRetail, Stevenage, Reino Unido
EUR 65,37
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Añadir al carritoHardcover. Condición: new. Hardcover. An essential introduction to data analytics and Machine Learning techniques in the business sector In Financial Data Analytics with Machine Learning, Optimization and Statistics, a team consisting of a distinguished applied mathematician and statistician, experienced actuarial professionals and working data analysts delivers an expertly balanced combination of traditional financial statistics, effective machine learning tools, and mathematics. The book focuses on contemporary techniques used for data analytics in the financial sector and the insurance industry with an emphasis on mathematical understanding and statistical principles and connects them with common and practical financial problems. Each chapter is equipped with derivations and proofsespecially of key resultsand includes several realistic examples which stem from common financial contexts. The computer algorithms in the book are implemented using Python and R, two of the most widely used programming languages for applied science and in academia and industry, so that readers can implement the relevant models and use the programs themselves. This book can help readers become well-equipped with the following skills: To evaluate financial and insurance data quality, and use the distilled knowledge obtained from the data after applying data analytic tools to make timely financial decisionsTo apply effective data dimension reduction tools to enhance supervised learningTo describe and select suitable data analytic tools as introduced above for a given dataset depending upon classification or regression prediction purpose The book covers the competencies tested by several professional examinations, such as the Predictive Analytics Exam offered by the Society of Actuaries, and the Institute and Faculty of Actuaries' Actuarial Statistics Exam. Besides being an indispensable resource for senior undergraduate and graduate students taking courses in financial engineering, statistics, quantitative finance, risk management, actuarial science, data science, and mathematics for AI, Financial Data Analytics with Machine Learning, Optimization and Statistics also belongs in the libraries of aspiring and practicing quantitative analysts working in commercial and investment banking. Shipping may be from our UK warehouse or from our Australian or US warehouses, depending on stock availability.
Librería: Kennys Bookstore, Olney, MD, Estados Unidos de America
EUR 107,39
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Añadir al carritoCondición: New. 2024. 1st Edition. hardcover. . . . . . Books ship from the US and Ireland.
Librería: Revaluation Books, Exeter, Reino Unido
EUR 99,83
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Añadir al carritoHardcover. Condición: Brand New. 512 pages. 7.13x2.28x9.84 inches. In Stock.
Librería: Russell Books, Victoria, BC, Canada
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EUR 76,59
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Añadir al carritohardcover. Condición: New. 1st Edition. Special order direct from the distributor.
Librería: Lucky's Textbooks, Dallas, TX, Estados Unidos de America
EUR 46,16
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Librería: BooksRun, Philadelphia, PA, Estados Unidos de America
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Añadir al carritoHardcover. Condición: New. 1. Brand new item, never opened! Ship within 24hrs. APO/FPO addresses supported.