Mastering machine learning algorithms : (Record no. 21025)

MARC details
000 -LEADER
fixed length control field 01922nam a2200229Ia 4500
003 - CONTROL NUMBER IDENTIFIER
control field NULRC
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20250520103011.0
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 9781838820299
040 ## - CATALOGING SOURCE
Transcribing agency NULRC
050 ## - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q 325.5 .B66 2020
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Bonaccorso, Giuseppe
Relator term author
245 #0 - TITLE STATEMENT
Title Mastering machine learning algorithms :
Remainder of title expert techniques for implementing popular machine learning algorithms, fine-tuning your models, and understanding how they work /
Statement of responsibility, etc. Giuseppe Bonaccorso
250 ## - EDITION STATEMENT
Edition statement Second Edition
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. Birmingham, UK :
Name of publisher, distributor, etc. Packt Publishing, Limited,
Date of publication, distribution, etc. c2020
300 ## - PHYSICAL DESCRIPTION
Extent xviii, 773 pages ;
Dimensions 24 cm.
365 ## - TRADE PRICE
Price amount USD45
505 ## - FORMATTED CONTENTS NOTE
Formatted contents note Machine Learning Model Fundamentals -- Loss functions and Regularization -- Introduction to Semi-Supervised Learning -- Advanced Semi-Supervised Classification -- Graph-based Semi-Supervised Learning -- Clustering and Unsupervised Models -- Advanced Clustering and Unsupervised Models -- Clustering and Unsupervised Models for Marketing -- Generalized Linear Models and Regression -- Introduction to Time-Series Analysis -- Bayesian Networks and Hidden Markov Models -- The EM Algorithm -- Component Analysis and Dimensionality Reduction -- Hebbian Learning -- Fundamentals of Ensemble Learning -- Advanced Boosting Algorithms -- Modeling Neural Networks -- Optimizing Neural Networks -- Deep Convolutional Networks -- Recurrent Neural NetworksAuto-Encoders -- Introduction to Generative Adversarial Networks -- Deep Belief Networks -- Introduction to Reinforcement Learning -- Advanced Policy Estimation Algorithms.
520 ## - SUMMARY, ETC.
Summary, etc. A new second edition of the bestselling guide to exploring and mastering the most important algorithms for solving complex machine learning problems, updated to include Python 3.8 and TensorFlow 2.x as well as the latest in new algorithms and techniques
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element COMPUTER ALGORITHMS
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     Gen. Ed. - CCIT LRC - Main National University - Manila General Circulation 12/03/2022 Purchased - Amazon 45.00   GC Q 325.5 .B66 2020 NULIB000018784 05/20/2025 c.1 05/20/2025 Books