MARC details
000 -LEADER |
fixed length control field |
02738nam a22003137a 4500 |
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 |