An introduction to machine learning in quantitative finance: (Record no. 4018)

MARC details
000 -LEADER
fixed length control field 02699nam a22002417a 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20221123145336.0
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020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781786349644
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 332.0285631
Item number NI
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Ni, Hao
245 ## - TITLE STATEMENT
Title An introduction to machine learning in quantitative finance:
Remainder of title advanced textbooks in mathematics
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Name of publisher, distributor, etc. World Scientific
Place of publication, distribution, etc. New Jersey
Date of publication, distribution, etc. 2021
300 ## - PHYSICAL DESCRIPTION
Extent xxiv, 238 p.
365 ## - TRADE PRICE
Price type code USD
Price amount 48.00
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note Contents:<br/>Preface<br/>About the Authors<br/>Acknowledgments<br/>Disclaimer<br/>Listings<br/>Overview of Machine Learning and Financial Applications<br/>Supervised Learning<br/>Linear Regression and Regularization<br/>Tree-based Models<br/>Neural Networks<br/>Cluster Analysis<br/>Principal Component Analysis<br/>Reinforcement Learning<br/>Case Study in Finance: Home Credit Default Risk<br/>Bibliography<br/>Index<br/>
520 ## - SUMMARY, ETC.
Summary, etc. In today's world, we are increasingly exposed to the words "machine learning" (ML), a term which sounds like a panacea designed to cure all problems ranging from image recognition to machine language translation. Over the past few years, ML has gradually permeated the financial sector, reshaping the landscape of quantitative finance as we know it.<br/><br/>An Introduction to Machine Learning in Quantitative Finance aims to demystify ML by uncovering its underlying mathematics and showing how to apply ML methods to real-world financial data. In this book the authors<br/><br/>Provide a systematic and rigorous introduction to supervised, unsupervised and reinforcement learning by establishing essential definitions and theorems.<br/>Dive into various types of neural networks, including artificial nets, convolutional nets, recurrent nets and recurrent reinforcement learning.<br/>Summarize key contents of each section in the tables as a cheat sheet.<br/>Include ample examples of financial applications.<br/>Showcase how to tackle an exemplar ML project on financial data end-to-end.<br/>Provide a GitHub repository https://github.com/deepintomlf/mlfbook.git that contains supplementary Python codes of all methods/examples.<br/>Featured with the balance of mathematical theorems and practical code examples of ML, this book will help you acquire an in-depth understanding of ML algorithms as well as hands-on experience. After reading An Introduction to Machine Learning in Quantitative Finance, ML tools will not be a black box to you anymore, and you will feel confident in successfully applying what you have learnt to empirical financial data!
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--Mathematical models
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Dong, Xin
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Zheng, Jinsong
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Yu, Guangxi
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
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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 Total Renewals Full call number Accession Number Date last seen Date checked out Copy number Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     Finance & Accounting TB1974 28-10-2022 Indian Institute of Management LRC Indian Institute of Management LRC General Stacks 11/23/2022 Technical Bureau India Pvt. Ltd. 2610.01 3 1 332.0285631 NI 003772 10/11/2023 09/29/2023 1 3969.60 11/23/2022 Book

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