Machine learning for finance: (Record no. 6050)
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000 -LEADER | |
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fixed length control field | 02150nam a22002057a 4500 |
005 - DATE AND TIME OF LATEST TRANSACTION | |
control field | 20240213192900.0 |
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION | |
fixed length control field | 240213b |||||||| |||| 00| 0 eng d |
020 ## - INTERNATIONAL STANDARD BOOK NUMBER | |
International Standard Book Number | 9789389328622 |
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER | |
Classification number | 330.0285631 |
Item number | SIN |
100 ## - MAIN ENTRY--PERSONAL NAME | |
Personal name | Singla, Saurav |
245 ## - TITLE STATEMENT | |
Title | Machine learning for finance: |
Remainder of title | beginner's guide to explore machine learning in banking and finance |
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) | |
Name of publisher, distributor, etc. | BPB Publications |
Place of publication, distribution, etc. | New Delhi |
Date of publication, distribution, etc. | 2023 |
300 ## - PHYSICAL DESCRIPTION | |
Extent | xxi, 217 p. |
365 ## - TRADE PRICE | |
Price type code | INR |
Price amount | 799.00 |
520 ## - SUMMARY, ETC. | |
Summary, etc. | The fields of machining adapting, profound learning, and computerized reasoning are quickly extending and are probably going to keep on doing as such for a long time to come. There are many main impetuses for this, as quickly caught in this review. Now and again, the advancement has been emotional, opening new ways to deal with long-standing innovation challenges, for example, progresses in PC vision and picture investigation. <br/><br/>The book demonstrates how to solve some of the most common issues in the financial industry. The book addresses real-life problems faced by practitioners on a daily basis. The book explains how machine learning works on structured data, text, and images. You will cover the exploration of Naïve Bayes, Normal Distribution, Clustering with Gaussian process, advanced neural network, sequence modeling, and reinforcement learning. Later chapters will discuss machine learning use cases in the finance sector and the implications of deep learning. The book ends with traditional machine learning algorithms.<br/><br/>Machine Learning has become very important in the finance industry, which is mostly used for better risk management and risk analysis. Better analysis leads to better decisions which lead to an increase in profit for financial institutions. Machine Learning to empower fintech to make massive profits by optimizing processes, maximizing efficiency, and increasing profitability.<br/><br/>(https://in.bpbonline.com/products/machine-learning-for-finance?_pos=1&_sid=1005cd63f&_ss=r) |
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 | Finance--Data processing |
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM | |
Topical term or geographic name as entry element | Finance--Mathematical models |
942 ## - ADDED ENTRY ELEMENTS (KOHA) | |
Koha item type | Book |
Source of classification or shelving scheme | Dewey Decimal Classification |
Withdrawn status | Lost status | Source of classification or shelving scheme | Damaged status | Not for loan | Collection code | Bill No | Bill Date | Home library | Current library | Shelving location | Date acquired | Source of acquisition | Cost, normal purchase price | Total Checkouts | Full call number | Accession Number | Date last seen | Copy number | Cost, replacement price | Price effective from | Koha item type |
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Dewey Decimal Classification | Finance & Accounting | TB3444 | 24-01-2024 | Indian Institute of Management LRC | Indian Institute of Management LRC | General Stacks | 02/13/2024 | Technical Bureau India Pvt. Ltd. | 555.30 | 330.0285631 SIN | 005814 | 02/13/2024 | 1 | 799.00 | 02/13/2024 | Book |