National Science Library of Georgia

Probability and statistics for machine learning : (Record no. 918084)

MARC details
000 -LEADER
fixed length control field 04908nam a22007097a 4500
001 - CONTROL NUMBER
control field 918084
003 - CONTROL NUMBER IDENTIFIER
control field Ge_NSL
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20260908143519.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 260908s2024 ch ||||| |||| 00| 0 eng d
015 ## - NATIONAL BIBLIOGRAPHY NUMBER
National bibliography number GBC466141
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 3031532813
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031532818 (rel)
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9783031532849 (brochØ)
Terms of availability 53,10 EUR
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 9783031532825
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
Cancelled/invalid ISBN 3031532821
024 3# - OTHER STANDARD IDENTIFIER
Standard number or code 9783031532849
024 30 - OTHER STANDARD IDENTIFIER
Standard number or code 9783031532818
035 ## - SYSTEM CONTROL NUMBER
System control number (OCoLC)1473700161
035 ## - SYSTEM CONTROL NUMBER
System control number on1416891548
035 ## - SYSTEM CONTROL NUMBER
System control number UKMGB300066141
040 ## - CATALOGING SOURCE
Original cataloging agency ABES
Language of cataloging fre
Description conventions AFNOR
041 0# - LANGUAGE CODE
Language code of text/sound track or separate title eng
Source of code 639-2
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number QA273
Item number .A4146 2024
080 ## - UNIVERSAL DECIMAL CLASSIFICATION NUMBER
Universal Decimal Classification number 004
082 0# - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 006.31
Edition number 23
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Aggarwal, Charu C.
245 10 - TITLE STATEMENT
Title Probability and statistics for machine learning :
Remainder of title a textbook /
Statement of responsibility, etc Charu C. Aggarwal.
264 #1 - Production, Publication, Distribution, Manufacture, and Copyright Notice (R)
Place of production, publication, distribution, manufacture (R) Cham, Switzerland :
Name of producer, publisher, distributor, manufacturer (R) Springer.
Date of production, publication, distribution, manufacture, or copyright notice ©2024
300 ## - PHYSICAL DESCRIPTION
Extent xvii, 522 p. :
Other physical details ill. (some color), color portrait ;
Dimensions 26 cm.
336 ## - Content Type (R)
Content type code (R) txt
Source (NR) rdacontent
337 ## - Media Type (R)
Media type code (R) n
Source (NR) rdamedia
337 ## - Media Type (R)
Media type code (R) n
Source (NR) isbdmedia
338 ## - Carrier Type (R)
Carrier type code (R) nga
Source (NR) RDAfrCarrier
504 ## - BIBLIOGRAPHY, ETC. NOTE
Bibliography, etc Bibliographie (pages 515-517). Index. Exercices.
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note 1. Probability and Statistics: An Introduction -- 2. Summarizing and Visualizing Data -- 3. Probability Basics and Random Variables -- 4. Probability Distributions -- 5. Hypothesis Testing and Confidence Intervals -- 6. Reconstructing Probability Distributions from Data -- 7. Regression -- 8. Classification: A Probabilistic View -- 9. Unsupervised Learning: A Probabilistic View -- 10. Discrete State Markov Processes -- 11. Probabilistic Inequalities and Extreme Value Analysis -- References -- Index
520 ## - SUMMARY, ETC.
Summary, etc "This book covers probability and statistics from the machine learning perspective. The chapters of this book belong to three categories: 1. The basics of probability and statistics: These chapters focus on the basics of probability and statistics, and cover the key principles of these topics. Chapter 1 provides an overview of the area of probability and statistics as well as its relationship to machine learning. The fundamentals of probability and statistics are covered in Chapters 2 through 5. 2. From probability to machine learning: Many machine learning applications are addressed using probabilistic models, whose parameters are then learned in a data-driven manner. Chapters 6 through 9 explore how different models from probability and statistics are applied to machine learning. Perhaps the most important tool that bridges the gap from data to probability is maximum-likelihood estimation, which is a foundational concept from the perspective of machine learning. This concept is explored repeatedly in these chapters. 3. Advanced topics: Chapter 10 is devoted to discrete-state Markov processes. It explores the application of probability and statistics to a temporal and sequential setting, although the applications extend to more complex settings such as graphical data. Chapter 11 covers a number of probabilistic inequalities and approximations. The style of writing promotes the learning of probability and statistics simultaneously with a probabilistic perspective on the modeling of machine learning applications. The book contains over 200 worked examples in order to elucidate key concepts. Exercises are included both within the text of the chapters and at the end of the chapters. The book is written for a broad audience, including graduate students, researchers, and practitioners."--Back cover
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Apprentissage automatique.
Source of heading or term ram
9 (RLIN) 285793
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element ProbabilitØs.
Source of heading or term ram
650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistique.
Source of heading or term ram
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Probabilities.
Source of heading or term lc
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistics.
Source of heading or term lc
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning.
Source of heading or term lc
9 (RLIN) 5593
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Machine learning
General subdivision Statistical methods.
Source of heading or term lc
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element ProbabilitØs.
Source of heading or term lc
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Statistique.
Source of heading or term lc
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Apprentissage automatique.
Source of heading or term lc
9 (RLIN) 285793
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name as entry element Apprentissage automatique
General subdivision MØthodes statistiques.
Source of heading or term lc
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term საინფორმაციო ტექნოლოგიები
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term კომპიუტერული ტექნოლოგიები
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term კომპიუტერები
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term ხელოვნური ინტელექტი
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term მანქანური სწავლება
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term მანქანური სწავლება, სტატისტიკური მეთოდები
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term მათემატიკა-ალბათობა და სტატისტიკა
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term ალბათობა
653 ## - INDEX TERM--UNCONTROLLED
Uncontrolled term სტატისტიკა
776 0# - ADDITIONAL PHYSICAL FORM ENTRY
Title Probability and Statistics for Machine Learning : A Textbook / by Charu C. Aggarwal
Record control number (ABES)278791166
886 2# - FOREIGN MARC INFORMATION FIELD
2 unimarc
a 181
-- i#
b xxxe##
930 ## - EQUIVALENCE OR CROSS-REFERENCE-UNIFORM TITLE HEADING [LOCAL, CANADA]
Uniform title 3.65 AGG
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Universal Decimal Classification
Item type წიგნი
990 ## - EQUIVALENCES OR CROSS-REFERENCES [LOCAL, CANADA]
Link information for 9XX fields E
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Home library Current library Shelving location Date acquired Total Checkouts Full call number Barcode Date last seen Copy number Price effective from Koha item type
    Universal Decimal Classification     ეროვნული სამეცნიერო ბიბლიოთეკა 1 ეროვნული სამეცნიერო ბიბლიოთეკა 1 საცავი. 1 კორპ. 08.09.2026   004 2026-2575544 08.09.2026 3E25933 08.09.2026 წიგნი
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