Advances in financial machine learning (Record no. 156959)

MARC details
000 -LEADER
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001 - CONTROL NUMBER
control field 20365755
003 - CONTROL NUMBER IDENTIFIER
control field IIITD
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20240207020003.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 180222s2018 nju 001 0 eng
010 ## - LIBRARY OF CONGRESS CONTROL NUMBER
LC control number 2017049249
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781119482086
040 ## - CATALOGING SOURCE
Original cataloging agency IIITD
082 00 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 332.028
Edition number 23
Item number PRA-A
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Prado, Marcos Lopez de.
245 10 - TITLE STATEMENT
Title Advances in financial machine learning
Statement of responsibility, etc by Marcos Lopez de Prado.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication, distribution, etc New Jersey :
Name of publisher, distributor, etc Willey,
Date of publication, distribution, etc ©2018
300 ## - PHYSICAL DESCRIPTION
Extent xxxi, 366 p. :
Other physical details ill. ;
Dimensions 24 cm.
500 ## - GENERAL NOTE
General note This book includes index.
520 ## - SUMMARY, ETC.
Summary, etc "Machine learning (ML) is changing virtually every aspect of our lives. Today ML algorithms accomplish tasks that until recently only expert humans could perform. As it relates to finance, this is the most exciting time to adopt a disruptive technology that will transform how everyone invests for generations. Readers will learn how to structure Big data in a way that is amenable to ML algorithms; how to conduct research with ML algorithms on that data; how to use supercomputing methods; how to backtest your discoveries while avoiding false positives. The book addresses real-life problems faced by practitioners on a daily basis, and explains scientifically sound solutions using math, supported by code and examples. Readers become active users who can test the proposed solutions in their particular setting. Written by a recognized expert and portfolio manager, this book will equip investment professionals with the groundbreaking tools needed to succeed in modern finance"--
520 ## - SUMMARY, ETC.
Summary, etc "This book begins by structuring financial data in a way that is amenable to machine learning (ML) algorithms. Then, the author discusses how to conduct research with ML algorithms on that data and how to backtest your discoveries. Most of the problems and solutions are explained using math, supported by code. This makes the book very practical and hands-on. Readers become active users who can test the solutions proposed in their work. Readers will learn how to structure, label, weight, and backtest data. Machine learning is the future, and this book will equip investment professionals with the tools to utilize it moving forward"--
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Finance
General subdivision Data processing.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Finance
General subdivision Mathematical models.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Business economics / Investments & Securities.
Source of heading or term bisacsh
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Display text Online version:
Main entry heading López de Prado, Marcos Mailoc, author.
Title Advances in financial machine learning
Place, publisher, and date of publication New Jersey : Wiley, [2018]
International Standard Book Number 9781119482116
Record control number (DLC) 2018009027
906 ## - LOCAL DATA ELEMENT F, LDF (RLIN)
a 7
b cbc
c orignew
d 1
e ecip
f 20
g y-gencatlg
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Books
Koha issues (borrowed), all copies 4
Holdings
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 Cost, normal purchase price Total Checkouts Total Renewals Full call number Barcode Date last seen Date checked out Cost, replacement price Price effective from Vendor/Supplier Koha item type Public note
    Dewey Decimal Classification     Economics IIITD IIITD General Stacks 05/04/2022 4100 4 3 332.028 PRA-A G02108 13/03/2024 06/02/2024 $50 05/04/2022 Gifted by Dr. Prasoon Tiwari Books Gifted by Dr. Prasoon Tiwari
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