Machine learning for absolute beginners : (Record no. 21730)

MARC details
000 -LEADER
fixed length control field 01844nam a2200241Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520103028.0
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 9798558098426
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q 325.5 .T44 2021
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Theobald, Oliver
Relator term author
245 #0 - TITLE STATEMENT
Title Machine learning for absolute beginners :
Remainder of title a plain English introduction /
Statement of responsibility, etc. Oliver Theobald
250 ## - EDITION STATEMENT
Edition statement Third Edition.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. [United States] :
Name of publisher, distributor, etc. Scatterplot Press,
Date of publication, distribution, etc. c2021
300 ## - PHYSICAL DESCRIPTION
Extent 179 pages :
Other physical details illustrations ;
Dimensions 23 cm.
365 ## - TRADE PRICE
Price amount USD16
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Preface -- What is Machine Learning ? -- Machine Learning Categories -- The Machine Learning Toolbox -- Data Scrubbing Setting up your data -- Linear Regression -- Logistic Regression -- k-Nearest -- k-Means Clustering -- Bias & Variance -- Support Vector Machines -- Artificial Neural Networks -- Decision Trees -- Ensemble Modeling -- Development Environment -- Building a Model in Python -- Model Optimization -- Next Steps -- Thank You -- Bug Bounty -- Further Resources -- Appendix: Introduction to Python.
520 ## - SUMMARY, ETC.
Summary, etc. Machine Learning for Absolute Beginners has been written and designed for absolute beginners. This means plain English explanations and no coding experience required. Where core algorithms are introduced, clear explanations and visual examples are added to make it easy and engaging to follow along at home. This title opens with a general introduction to machine learning from a macro level. The second half of the book is more practical and dives into introducing specific algorithms applied in machine learning, including their pros and cons. At the end of the book, I share insights and advice on further learning and careers in this space
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element MACHINE LEARNING
700 ## - ADDED ENTRY--PERSONAL NAME
Personal name Pedersen, Jeremy
Relator term editor
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     Digital Forensic LRC - Main National University - Manila General Circulation 03/11/2024 Purchased - Amazon 16.00   GC Q 325.5 .T44 2021 NULIB000019489 05/20/2025 c.1 05/20/2025 Books

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