Financial data analytics (Record no. 567537)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 03037 a2200253 4500 |
| 003 - CONTROL NUMBER IDENTIFIER | |
| control field | OSt |
| 005 - DATE AND TIME OF LATEST TRANSACTION | |
| control field | 20250626105353.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 250626b |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| ISBN | 9781119863373 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 330.0285 |
| Item number | C42f |
| 100 ## - MAIN ENTRY--AUTHOR NAME | |
| Personal name | Chen, Sam |
| 245 ## - TITLE STATEMENT | |
| Title | Financial data analytics |
| Remainder of title | with machine learning, optimization and statistics |
| Statement of responsibility, etc | Sam Chen, Ka Chun Cheung and Phillip Yam |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Name of publisher | John Wiley |
| Year of publication | 2025 |
| Place of publication | Hoboken |
| 300 ## - PHYSICAL DESCRIPTION | |
| Number of Pages | xxvi, 784p |
| 440 ## - SERIES STATEMENT/ADDED ENTRY--TITLE | |
| Title | Wiley finance series |
| 520 ## - SUMMARY, ETC. | |
| Summary, etc | 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 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. 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 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. |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Accounting -- Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Financial statements |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data analytics in finance and insurence |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical Term | Data analytics in insurance |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Cheung, Ka Chun |
| 700 ## - ADDED ENTRY--PERSONAL NAME | |
| Personal name | Yam, Phillip |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
| Koha item type | Books |
| Withdrawn status | Lost status | Damaged status | Not for loan | Collection code | Home library | Current library | Date acquired | Source of acquisition | Cost, normal purchase price | Full call number | Accession Number | Cost, replacement price | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| In Acquisition | PK Kelkar Library, IIT Kanpur | PK Kelkar Library, IIT Kanpur | 24/06/2025 | 2 | 4842.56 | 330.0285 C42f | A186892 | 6456.75 | Books |