Financial data analytics with machine learning, optimization and statistics/ (Record no. 23765)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02520nam a22002297a 4500 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119863373 |
| 041 ## - LANGUAGE CODE | |
| Language code of text/sound track or separate title | English |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 332.0285 |
| Item number | CHE |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Author name | Chen, Sam |
| 245 ## - TITLE STATEMENT | |
| Title | Financial data analytics with machine learning, optimization and statistics/ |
| Statement of responsibility, etc | Sam Chen, Ka Chun Cheung and Phillip Yam |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication | Hoboken : |
| Name of publisher | John Wiley & Sons, Inc., |
| Year of publication | 2025. |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxvi, 784 pages : |
| Other physical details | illustrations ; |
| Dimensions | 26 cm. |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Wiley finance series |
| 505 ## - FORMATTED CONTENTS NOTE | |
| Formatted contents note | Introduction <br/>Part One Data Cleansing and Analytical Models<br/>Chapter 1 Mathematical and Statistical Preliminaries<br/>Chapter 2 Introduction to Python and R<br/>Chapter 3 Statistical Diagnostics of Financial Data<br/>Chapter 4 Financial Forensics<br/>Chapter 5 Numerical Finance<br/>Chapter 6 Approximation for Model Inference<br/>Chapter 7 Time-Varying Volatility Matrix and Kelly Fraction<br/>Chapter 8 Risk Measures, Extreme Values, and Copulae<br/>Part Two Linear Models<br/>Chapter 9 Principal Component Analysis and Recommender Systems<br/>Chapter 10 Regression Learning<br/>Chapter 11 Linear Classifiers<br/>Part Three Nonlinear Models<br/>Chapter 12 Bayesian Learning<br/>Chapter 13 Classification and Regression Trees, and Random Forests<br/>Chapter 14 Cluster Analysis<br/>Chapter 15 Applications of Deep Learning in Finance<br/> |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Finance Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Finances Informatique |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Subject | Machine learning |
| General subdivision | Economic aspects |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Author 2/ Editor | Cheung, Ka Chun |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Author 2/ Editor | Yam, Phillip |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Source of classification or shelving scheme | Dewey Decimal Classification |
| Koha item type | Books |
| Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Use restrictions | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Bill Date | Full call number | Accession Number | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | Restricted Access | Reference | Institute of Public Enterprise, Library | Institute of Public Enterprise, Library | S Campus | 04/22/2025 | Feel Books Pvt Ltd. | 6727.50 | 08-04-2025 | 332.0285 CHE | 49573 | 04/22/2025 | Books | ||||
| Dewey Decimal Classification | Restricted Access | Reference | Institute of Public Enterprise, Library | Institute of Public Enterprise, Library | S Campus | 04/22/2025 | Feel Books Pvt Ltd. | 6727.50 | 08-04-2025 | 332.0285 CHE | 49574 | 04/22/2025 | Books | ||||
| Dewey Decimal Classification | Restricted Access | Reference | Institute of Public Enterprise, Library | Institute of Public Enterprise, Library | S Campus | 04/22/2025 | Feel Books Pvt Ltd. | 6727.50 | 08-04-2025 | 332.0285 CHE | 49575 | 04/22/2025 | Books | ||||
| Dewey Decimal Classification | Restricted Access | Reference | Institute of Public Enterprise, Library | Institute of Public Enterprise, Library | S Campus | 04/22/2025 | Feel Books Pvt Ltd. | 6727.50 | 08-04-2025 | 332.0285 CHE | 49576 | 04/22/2025 | Books | ||||
| Dewey Decimal Classification | Restricted Access | Reference | Institute of Public Enterprise, Library | Institute of Public Enterprise, Library | S Campus | 04/22/2025 | Feel Books Pvt Ltd. | 6727.50 | 08-04-2025 | 332.0285 CHE | 49577 | 04/22/2025 | Books |
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