MARC details
| 000 -LEADER |
|---|
| fixed length control field |
02972cam a22004217i 4500 |
| 001 - CONTROL NUMBER |
|---|
| control field |
21795607 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
EG-ScBUE |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20220302104116.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
201109t2021 nyua f b 001 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9781260462296 |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
1260462293 |
| 035 ## - SYSTEM CONTROL NUMBER |
|---|
| System control number |
(OCoLC)on1245422280 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
NWQ |
| Language of cataloging |
eng |
| Description conventions |
rda |
| Transcribing agency |
NWQ |
| Modifying agency |
OCLCO |
| -- |
YDXIT |
| -- |
OCLCF |
| -- |
DLC |
| -- |
EG-ScBUE |
| 082 04 - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Edition number |
22 |
| Item number |
KON |
| 100 1# - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Konasani, Venkat Reddy, |
| Relator term |
author. |
| 245 10 - TITLE STATEMENT |
|---|
| Title |
Machine learning and deep learning using Python and Tensorflow / |
| Statement of responsibility, etc |
Venkat Reddy Konasani, Shailendra Kadre. |
| 264 #1 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Place of publication, distribution, etc |
New York : |
| Name of publisher, distributor, etc |
McGraw-Hill, |
| Date of publication, distribution, etc |
[2021] |
| 264 #4 - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Date of publication, distribution, etc |
©2021 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xix, 533 pages : |
| Other physical details |
illustrations ; |
| Dimensions |
27 cm |
| 336 ## - CONTENT TYPE |
|---|
| Content type term |
text |
| Content type code |
txt |
| Source |
rdacontent |
| 337 ## - MEDIA TYPE |
|---|
| Media type term |
unmediated |
| Media type code |
n |
| Source |
rdamedia |
| 338 ## - CARRIER TYPE |
|---|
| Carrier type term |
volume |
| Carrier type code |
nc |
| Source |
rdacarrier |
| 504 ## - BIBLIOGRAPHY, ETC. NOTE |
|---|
| Bibliography, etc |
Includes bibliographical references and index. |
| 505 0# - FORMATTED CONTENTS NOTE |
|---|
| Formatted contents note |
Introduction to machine learning and deep learning -- Basics of Python programming and statistics -- Regression and logistic regression -- Decision trees -- Model selection and cross-validation -- Cluster analysis -- Random forests and boosting -- Artificial neural networks -- TensorFlow and Keras -- Deep learning hyperparameters -- Convolutional neural networks -- Recurrent neural networks and long short-term memory. |
| 520 ## - SUMMARY, ETC. |
|---|
| Summary, etc |
"This hands-on guide lays out machine learning and deep learning techniques and technologies in a style that is approachable, using just the basic math required. Written by a pair of experts in the field, Machine Learning and Deep Learning Using Python and TensorFlow contains case studies in several industries, including banking, insurance, e-commerce, retail, and healthcare. The book shows how to utilize machine learning and deep learning functions in today's smart devices and apps. You will get download links for datasets, code, and sample projects referred to in the text. Coverage includes: Machine learning and deep learning concepts; Python programming and statistics fundamentals; Regression and logistic regression; Decision trees; Model selection and cross-validation; Cluster analysis; Random forests and boosting; Artificial neural networks; TensorFlow and Keras; Deep learning hyperparameters; Convolutional neural networks; Recurrent neural networks and long short-term memory."-- |
| Assigning source |
Page 4 of cover. |
| 630 07 - SUBJECT ADDED ENTRY--UNIFORM TITLE |
|---|
| Uniform title |
TensorFlow. |
| Source of heading or term |
BUEsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Machine learning. |
| Source of heading or term |
BUEsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Neural networks (Computer science) |
| Source of heading or term |
BUEsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python (Computer program language) |
| Source of heading or term |
BUEsh |
| 650 #7 - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Artificial intelligence. |
| Source of heading or term |
BUEsh |
| 9 (RLIN) |
37100 |
| 653 ## - INDEX TERM--UNCONTROLLED |
|---|
| Resource For college |
Informatics and Computer Science |
| Arrived date list |
February2022 |
| 655 ## - INDEX TERM--GENRE/FORM |
|---|
| Form subdivision |
Reading book |
| 9 (RLIN) |
34232 |
| 700 1# - ADDED ENTRY--PERSONAL NAME |
|---|
| Personal name |
Kadre, Shailendra, |
| Relator term |
author. |
| 906 ## - LOCAL DATA ELEMENT F, LDF (RLIN) |
|---|
| a |
7 |
| b |
cbc |
| c |
copycat |
| d |
2 |
| e |
ncip |
| f |
20 |
| g |
y-gencatlg |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Book - Borrowing |