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Readings from programing with python / (Record no. 4363)

MARC details
000 -LEADER
fixed length control field 02209nam a22002417a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250326110016.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250326b |||||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9780357637456
040 ## - CATALOGING SOURCE
Transcribing agency Foundation University
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number (CCS) QA76.73.P98
Item number 2023 M478
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Mcmullen, Kyla
Dates associated with a name author
9 (RLIN) 10384
245 ## - TITLE STATEMENT
Title Readings from programing with python /
Statement of responsibility, etc. Kyla Mcmullen, Elizabeth Matthews & June Jamrich Parsons
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Boston :
Name of publisher, distributor, etc. Cengage Learning Inc. ;
Date of publication, distribution, etc. 2023.
300 ## - PHYSICAL DESCRIPTION
Extent xii, 533 pages ;
Other physical details ill. col, tables ;
Dimensions 24 cm
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc. note includes bibliographical references and appendices.
520 ## - ABSTRACT, SUMMARY, ETC.
Abstract, Summary, etc. "The machine learning field is concerned with the question of how to create computer programs that automatically improve information. In recent years, many successful electronic learning applications have been made, from data mining systems that learn to detect fraudulent credit card transactions, filtering programs that learn user readings, to private cars that learn to drive on public highways. At the same time, there have been significant developments in the concepts and algorithms that form the basis for this field. Machine learning is programming computers to optimize a performance criterion using example data or past experience. The goal of this textbook is to present the key concepts of Machine Learning which includes Python concepts and Interpreter, Foundation of Machine Learning, Data Pre-processing, Supervised Machine Learning, Unsupervised Machine Learning, Reinforcement Learning, Kernel Machine, Design and analysis of Machine Learning experiment and Data visualization. The theoretical concepts along with coding implementation are covered. This book aims to pursue a middle ground between a theoretical textbook and one that focuses on applications. The book concentrates on the important ideas in machine learning"-- Provided by publisher.<br/>
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Python (Computer program language)
9 (RLIN) 2167
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning.
9 (RLIN) 10387
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer algorithms.
9 (RLIN) 10388
658 ## - INDEX TERM--CURRICULUM OBJECTIVE
Main curriculum objective Computer Studies, College of.
Subordinate curriculum objective Readings from programing with python.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Classification part QA76.73.P98
Item part 2023 M478
Call number prefix (CCS)
Suppress in OPAC No
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Source of acquisition Total Checkouts Full call number Barcode Date last seen Price effective from Koha item type Accession Number
    Library of Congress Classification     Foundation University Library Foundation University Library Circulation 03/26/2025 Library Budget   (CCS) QA76.73.P98 2023 M478 0132025007 03/26/2025 03/26/2025 Books CCS-2025007