Machine learning for auditors : (Record no. 91495)
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| 000 -LEADER | |
|---|---|
| fixed length control field | 02482nam a22002177a 4500 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
| fixed length control field | 240110b2022 |||||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
| International Standard Book Number | 9781484284056 |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
| Classification number | 657.0285 SEK-M |
| 100 ## - MAIN ENTRY--PERSONAL NAME | |
| Personal name | Sekar, Maris |
| 245 ## - TITLE STATEMENT | |
| Title | Machine learning for auditors : |
| Remainder of title | automating fraud investigations through artificial intelligence / |
| Statement of responsibility, etc. | Maris Sekar |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
| Place of publication, distribution, etc. | India |
| Name of publisher, distributor, etc. | Apress |
| Date of publication, distribution, etc. | 2022 |
| 300 ## - PHYSICAL DESCRIPTION | |
| Extent | 242 p. |
| 365 ## - TRADE PRICE | |
| Price type code | INR |
| Price amount | 829.00 |
| 500 ## - GENERAL NOTE | |
| General note | Use artificial intelligence (AI) techniques to build tools for auditing your organization. This is a practical book with implementation recipes that demystify AI, ML, and data science and their roles as applied to auditing. You will learn about data analysis techniques that will help you gain insights into your data and become a better data storyteller. The guidance in this book around applying artificial intelligence in support of audit investigations helps you gain credibility and trust with your internal and external clients. A systematic process to verify your findings is also discussed to ensure the accuracy of your findings.<br/><br/>Machine Learning for Auditors provides an emphasis on domain knowledge over complex data science know how that enables you to think like a data scientist. The book helps you achieve the objectives of safeguarding the confidentiality, integrity, and availability of your organizational assets. Data science does not need to be an intimidating concept for audit managers and directors. With the knowledge in this book, you can leverage simple concepts that are beyond mere buzz words to practice innovation in your team. You can build your credibility and trust with your internal and external clients by understanding the data that drives your organization.<br/><br/>What You Will Learn<br/>* Understand the role of auditors as trusted advisors<br/>* Perform exploratory data analysis to gain a deeper understanding of your organization<br/>* Build machine learning predictive models that detect fraudulent vendor payments and expenses<br/>* Integrate data analytics with existing and new technologies<br/>* Leverage storytelling to communicate and validate your findings effectively<br/>* Apply practical implementation use cases within your organization |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Auditing, Internal--Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Corporations--Accounting--Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Fraud--Prevention |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Artificial intelligence--Data processing |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
| Topical term or geographic name as entry element | Business--Data processing |
| 952 ## - LOCATION AND ITEM INFORMATION (KOHA) | |
| Withdrawn status | |
| Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Home library | Current library | Shelving location | Date acquired | Total Checkouts | Full call number | Barcode | Date last seen | Price effective from | Koha item type |
|---|---|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Dewey Decimal Classification | 650 | BITS Pilani Hyderabad | BITS Pilani Hyderabad | General Stack (For lending) | 10/01/2024 | 657.0285 SEK-M | 47539 | 13/07/2024 | 10/01/2024 | Books |