MARC details
| 000 -LEADER |
|---|
| fixed length control field |
01083nam a22002177a 4500 |
| 003 - CONTROL NUMBER IDENTIFIER |
|---|
| control field |
IIITD |
| 005 - DATE AND TIME OF LATEST TRANSACTION |
|---|
| control field |
20240107020002.0 |
| 008 - FIXED-LENGTH DATA ELEMENTS--GENERAL INFORMATION |
|---|
| fixed length control field |
231216b xxu||||| |||| 00| 0 eng d |
| 020 ## - INTERNATIONAL STANDARD BOOK NUMBER |
|---|
| International Standard Book Number |
9789352138128 |
| 040 ## - CATALOGING SOURCE |
|---|
| Original cataloging agency |
IIITD |
| 082 ## - DEWEY DECIMAL CLASSIFICATION NUMBER |
|---|
| Classification number |
006.31 |
| Item number |
PAT-H |
| 100 ## - MAIN ENTRY--PERSONAL NAME |
|---|
| Personal name |
Patel, Ankur A. |
| 245 ## - TITLE STATEMENT |
|---|
| Title |
Hands-on unsupervised learning using python : |
| Remainder of title |
how to build applied machine learning solutions from unlabeled data |
| Statement of responsibility, etc |
by Ankur A. Patel. |
| 260 ## - PUBLICATION, DISTRIBUTION, ETC. (IMPRINT) |
|---|
| Name of publisher, distributor, etc |
O′Reilly, |
| Place of publication, distribution, etc |
Mumbai : |
| Date of publication, distribution, etc |
©2023 |
| 300 ## - PHYSICAL DESCRIPTION |
|---|
| Extent |
xix, 337 p. : |
| Other physical details |
ill. ; |
| Dimensions |
24 cm. |
| 505 ## - FORMATTED CONTENTS NOTE |
|---|
| Title |
1.Unsupervised Learning in the Machine Learning Ecosystem |
| -- |
2.End-to-End Machine Learning Project<br/> |
| -- |
3.Dimensionality Reduction |
| -- |
4.Anomaly Detection |
| -- |
5.Clustering |
| -- |
6.Group Segmentation |
| -- |
7.Autoencoders |
| -- |
8.Hands-On Autoencoder |
| -- |
9.Semisupervised Learning |
| -- |
10.Recommender Systems Using Restricted Boltzmann Machines |
| -- |
11.Feature Detection Using Deep Belief Networks<br/> |
| -- |
12.Generative Adversarial Networks<br/> |
| -- |
13.Time Series Clustering<br/> |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Python |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Applied machine learning |
| 650 ## - SUBJECT ADDED ENTRY--TOPICAL TERM |
|---|
| Topical term or geographic name as entry element |
Unlabeled data |
| 942 ## - ADDED ENTRY ELEMENTS (KOHA) |
|---|
| Source of classification or shelving scheme |
Dewey Decimal Classification |
| Koha item type |
Books |
| Koha issues (borrowed), all copies |
1 |
