Machine learning algorithms : (Record no. 18233)

MARC details
000 -LEADER
fixed length control field 01602nam a2200217Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520102911.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 250520s9999 xx 000 0 und d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781548307752
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q 325.5 .C43 2017
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Chapmann, Joshua
Relator term author
245 #0 - TITLE STATEMENT
Title Machine learning algorithms :
Remainder of title fundamental algorithms for supervised and unsupervised learning /
Statement of responsibility, etc. Joshua Chapmann
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. [Place of publication not identifed] :
Name of publisher, distributor, etc. Independently published,
Date of publication, distribution, etc. c2017
300 ## - PHYSICAL DESCRIPTION
Extent 78 pages ;
Dimensions 23 cm.
365 ## - TRADE PRICE
Price amount USD10.99
500 ## - GENERAL NOTE
General note Machine learning algorithms :, Machine
520 ## - SUMMARY, ETC.
Summary, etc. Computers can't LEARN... Right?! Machine Learning is a branch of computer science that wants to stop programming computers using a list of detailed instructions and instead use a set of high-level commands which they can apply to many unknown scenarios - these are called algorithms. In practice, they want to give computers the ability to Learn and to ADAPT. We can use these algorithms to obtain insights, recognize patterns and make predictions from data, images, sounds or videos we have never seen before (or even knew existed). Unfortunately, the true power and applications of today's Machine Learning Algorithms is misunderstood by most people. The book shed light on the most relevant Machine Learning Algorithms used in the industry: Supervised Learning Algorithms (K-Nearest Neighbour, Na ve Bayes, Regressions) and Unsupervised Learning Algorithms (Support Vector Machines and Decision Trees).
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MACHINE LEARNING
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Library of Congress Classification
Koha item type Books
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection Home library Current library Shelving location Date acquired Source of acquisition Cost, normal purchase price Total checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Library of Congress Classification     Machine Learning LRC - Main National University - Manila General Circulation 09/04/2018 Purchased - Amazon 10.99   GC Q 325.5 .C43 2017 NULIB000015992 05/20/2025 c.1 05/20/2025 Books