Logo
Knowledge Resource Center/Library

Fundamentals of techniques machine learning with python: (Record no. 13077)

000 -LEADER
fixed length control field nam a22 7a 4500
003 - CONTROL NUMBER IDENTIFIER
control field OSt
005 - DATE AND TIME OF LATEST TRANSACTION
control field 20230914124834.0
008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION
fixed length control field 230914b xxu||||| |||| 00| 0 eng d
020 ## - INTERNATIONAL STANDARD BOOK NUMBER
International Standard Book Number 9789386551931
040 ## - CATALOGING SOURCE
Transcribing agency AEF
082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER
Edition number 23rd ed.
Classification number 006.31
Item number VIJ
100 ## - MAIN ENTRY--PERSONAL NAME
Personal name Vijayvargia, A.
9 (RLIN) 3310
245 ## - TITLE STATEMENT
Title Fundamentals of techniques machine learning with python:
Remainder of title an approch to applied machine learning
250 ## - EDITION STATEMENT
Edition statement 1st ed.
260 ## - PUBLICATION, DISTRIBUTION, ETC.
Place of publication, distribution, etc. New Delhi:
Name of publisher, distributor, etc. BPB publication,
Date of publication, distribution, etc. 2018
300 ## - PHYSICAL DESCRIPTION
Extent 257 p.:
Dimensions 18 cm
500 ## - GENERAL NOTE
General note The book has been written in such a way that the concepts are explained in detail giving adequate emphasis on examples. To make clarity of the programming examples logic is explained properly as well as discussed by using comments in the program itself. The book covers the topics right from the start of the software by using coding in software and writing programs into it. The book features more on practical approach with more examples covering topics from simple to complex one addressing many of the core concepts and advanced topics also. Key Features Basics concepts of PyTorch like CNN architecture RNN architecture are discussed in a detailed manner. The worked out case studies are also dealt in a detailed manner. Each and every chapter concludes with the observations of PyTorch to facilitate a better understanding of PyTorch Abundant worked out coding examples. Highly self-explanatory and user-friendly approach This book will “need to have” title for various reasons as articulated below. Gaining Customers by adopting and implementing PyTorch in / projects/programs and in Research Departments. Help in sustaining Customer Relationships as the core of all successful working relationships are two essential characteristics: trust and commitment. To demonstrate their trustworthiness and commitment to customers progressive suppliers periodically provide evidence to customers of their accomplishments. Help in delivering “Superior Value and Getting an Equitable Return” as an understanding value in business markets and doing business based on value delivered gives suppliers the means to get an equitable return for their efforts. The essence of customer value management is to deliver superior value and get an equitable return for it both of which depend on the value of assessment.
650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM
Topical term or geographic name entry element Machine learning
9 (RLIN) 3311
942 ## - ADDED ENTRY ELEMENTS (KOHA)
Source of classification or shelving scheme
Koha item type Book
Holdings
Withdrawn status Lost status Source of classification or shelving scheme Damaged status Not for loan Permanent Location Current Location Date acquired Source of acquisition Cost, normal purchase price Total Checkouts Total Renewals Barcode Date last seen Date last checked out Cost, replacement price Price effective from Koha item type
          AEF's Arihant college of Arts, Commerce and Science, Camp, Pune-01 AEF's Arihant college of Arts, Commerce and Science, Camp, Pune-01 2023-09-16 20 399.20 1   8618 2023-09-25 2023-09-25 499.00 2023-09-16 Book
AEF's, Arihant College of Arts, Commerce and Science, Camp, Pune-01 . All Rights Reserved.
Implemented by Sheetal Ankushe

Powered by Koha