Machine learning for finance: (Record no. 6050)

MARC details
000 -LEADER
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
Holdings
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
    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

©2019-2020 Learning Resource Centre, Indian Institute of Management Bodhgaya

Powered by Koha