Supervised learning with python : (Record no. 222497)

MARC details
000 -LEADER
fixed length control field 03690nam a22004815i 4500
001 - CONTROL NUMBER
control field ssj0002426407
003 - CONTROL NUMBER IDENTIFIER
control field WaSeSS
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20220420101558.0
006 - FIXED-LENGTH DATA ELEMENTS--ADDITIONAL MATERIAL CHARACTERISTICS
fixed length control field m d
007 - PHYSICAL DESCRIPTION FIXED FIELD--GENERAL INFORMATION
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008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 201007s2020 xxu| o |||| 0|eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9781484261552 (print)
024 7# - OTHER STANDARD IDENTIFIER
Standard number or code 10.1007/978-1-4842-6156-9
Source of number or code doi
040 ## - CATALOGING SOURCE
Modifying agency WaSeSS
Transcribing agency AIMIT LIBRARY
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number Q325.5-.7
050 #4 - LIBRARY OF CONGRESS CALL NUMBER
Classification number TK7882.P3
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQM
Source bicssc
072 #7 - SUBJECT CATEGORY CODE
Subject category code COM004000
Source bisacsh
072 #7 - SUBJECT CATEGORY CODE
Subject category code UYQM
Source thema
082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER
Classification number 005.1372
Edition number 1
Item number VERV
092 ## - LOCALLY ASSIGNED DEWEY CALL NUMBER (OCLC)
Classification number EBOOK
999 ## - SYSTEM CONTROL NUMBERS (KOHA)
Koha Dewey Subclass [OBSOLETE] 03678302
100 1# - MAIN ENTRY--PERSONAL NAME
Personal name Verdhan, Vaibhav.
9 (RLIN) 30501
245 10 - TITLE STATEMENT
Title Supervised learning with python :
Remainder of title concepts and practical implementation using python /
Statement of responsibility, etc. By Vaibhav Verdhan ; Foreword by Dr. Eli Yechezkiel Kling.
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New York :
Name of publisher, distributor, etc. Apress ,
Date of publication, distribution, etc. 2022.
300 ## - PHYSICAL DESCRIPTION
Extent xx, 372p. ;
Dimensions 23 cm.
347 ## - DIGITAL FILE CHARACTERISTICS
File type text file
Encoding format PDF
Source rda
505 0# - FORMATTED CONTENTS NOTE
Formatted contents note Chapter 1: Introduction to Supervised Learning -- Chapter 2: Supervised Learning for Regression Analysis -- Chapter 3: Supervised Learning for Classification Problems -- Chapter 4: Advanced Algorithms for Supervised Learning -- Chapter 5: End-to-End Model Development.
506 ## - RESTRICTIONS ON ACCESS NOTE
Terms governing access Requires an SPL library card.
520 ## - SUMMARY, ETC.
Summary, etc. Gain a thorough understanding of supervised learning algorithms by developing use cases with Python. You will study supervised learning concepts, Python code, datasets, best practices, resolution of common issues and pitfalls, and practical knowledge of implementing algorithms for structured as well as text and images datasets. You'll start with an introduction to machine learning, highlighting the differences between supervised, semi-supervised and unsupervised learning. In the following chapters you'll study regression and classification problems, mathematics behind them, algorithms like Linear Regression, Logistic Regression, Decision Tree, KNN, Na�ive Bayes, and advanced algorithms like Random Forest, SVM, Gradient Boosting and Neural Networks. Python implementation is provided for all the algorithms. You'll conclude with an end-to-end model development process including deployment and maintenance of the model. After reading Supervised Learning with Python you'll have a broad understanding of supervised learning and its practical implementation, and be able to run the code and extend it in an innovative manner. You will: Review the fundamental building blocks and concepts of supervised learning using Python Develop supervised learning solutions for structured data as well as text and images Solve issues around overfitting, feature engineering, data cleansing, and cross-validation for building best fit models Understand the end-to-end model cycle from business problem definition to model deployment and model maintenance Avoid the common pitfalls and adhere to best practices while creating a supervised learning model using Python.
538 ## - SYSTEM DETAILS NOTE
System details note Mode of access: World Wide Web.
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Introduction to supervised learning
9 (RLIN) 30502
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Advanced algorithms for supervised learning
9 (RLIN) 30503
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element End- to- end model development
9 (RLIN) 30504
650 #0 - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Computer software
9 (RLIN) 30505
655 #7 - INDEX TERM--GENRE/FORM
Genre/form data or focus term Electronic books.
Source of term local
9 (RLIN) 30506
773 0# - HOST ITEM ENTRY
Title Springer Nature eBook
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484261552
776 08 - ADDITIONAL PHYSICAL FORM ENTRY
Relationship information Printed edition:
International Standard Book Number 9781484261576
856 40 - ELECTRONIC LOCATION AND ACCESS
Link text View this electronic item in O'Reilly Online Learning: Academic/Public Library Edition.
Uniform Resource Identifier <a href="https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484261569/?ar">https://ezproxy.spl.org/login?url=https://learning.oreilly.com/library/view/~/9781484261569/?ar</a>
Public note An e-book available through full-text database.
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme Dewey Decimal Classification
Koha item type Book
Edition 1st
Call number prefix 005.1372 VERV
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Collection code Home library Current library Date acquired Source of acquisition Cost, normal purchase price Inventory number Total Checkouts Full call number Barcode Date last seen Cost, replacement price Price effective from Koha item type
    Dewey Decimal Classification     MCA St Aloysius Institute of Management & Information Technology St Aloysius Institute of Management & Information Technology 03/24/2022 Biblios Book Point 1099.00 Bill no:6623; Bill dt:2022-03-23   005.1372 VERV MCA17088 07/21/2025 879.00 04/20/2022 Book