Machine Learning for Data Science Handbook : (Record no. 7170)

MARC details
000 -LEADER
fixed length control field 02851 a2200277 4500
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20251016214029.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 241211b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
ISBN 9783031246272
041 ## - LANGUAGE CODE
Language code of text/sound track or separate title eng
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Item number Rok3
245 ## - TITLE STATEMENT
Title Machine Learning for Data Science Handbook :
Remainder of title Data Mining and Knowledge Discovery Handbook [3rd ed.] /
Statement of responsibility, etc edited by Lior Rokach, Oded Maimon and Erez Shmueli
250 ## - EDITION STATEMENT
Edition statement 3rd ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT)
Place of publication Switzerland:
Name of publisher Springer;
Year of publication ©2005
300 ## - PHYSICAL DESCRIPTION
Number of Pages vii, 985p.
520 ## - SUMMARY, ETC.
Summary, etc This book is a major update to the very successful first and second editions (2005 and 2010) of Data Mining and Knowledge Discovery Handbook. Since the last edition, this field has continued to evolve and to gain popularity. Existing methods are constantly being improved and new methods, applications and aspects are introduced. The new title of this handbook and its content reflect these changes thoroughly. Some existing chapters have been brought up to date. In addition to major revision of the existing chapters, the new edition includes totally new topics, such as: deep learning, explainable AI, human factors and social issues and advanced methods for big-data. The significant enhancement to the content reflects the growth in importance of data science. The third edition is also a timely opportunity to incorporate many other changes based on peers and students’ feedback.<br/><br/>This comprehensive handbook also presents a coherent and unified repository of data science major concepts, theories, methods, trends, challenges and applications. It covers all the crucial important machine learning methods used in data science.<br/><br/>Today's accessibility and abundance of data make data science matters of considerable importance and necessity. Given the field's recent growth, it's not surprising that researchers and practitioners now have a wide range of methods and tools at their disposal. While statistics is fundamental for data science, methods originated from artificial intelligence, particularly machine learning, are also playing a significant role.<br/><br/>This handbook aims to serve as the main reference for researchers in the fields of information technology, e-Commerce, information retrieval, data science, machine learning, data mining, databases and statistics as well as advanced level students studying computer science or electrical engineering. Practitioners working within these related fields and data scientists will also want to purchase this handbook as a reference.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Computer Science
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Artificial Intelligence
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Machine Learning
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Data Mining
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Information Storage and Retrieval
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical Term Knowledge Discovery
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Rokach, Lior [Ed.]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Maimon, Oded [Ed.]
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Shmueli, Erez [Ed.]
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Koha item type Books
Holdings
Withdrawn status Lost status Damaged status Collection code Home library Current library Shelving location Date acquired Source of acquisition Purchase Price Bill number Full call number Accession Number Copy number Print Price Bill Date/Price effective from Koha item type
      Computer Science Indian Institute of Technology Tirupati Indian Institute of Technology Tirupati Reference 30/07/2025 Today and Tomorrows Printers and Publishers 17637.54 TTPP/133/2025-26 REF 006.31 RokM3 (11540) 11540 Copy 1 25196.49 30/07/2025 Reference