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Mendeley readers
| Chapter title |
Feature Selection and Feature Engineering
|
|---|---|
| Chapter number | 8 |
| Book title |
Deep Learning Pipeline
|
| Published by |
Apress, Berkeley, CA, December 2019
|
| DOI | 10.1007/978-1-4842-5349-6_8 |
| Book ISBNs |
978-1-4842-5348-9, 978-1-4842-5349-6
|
| Authors |
Hisham El-Amir, Mahmoud Hamdy, El-Amir, Hisham, Hamdy, Mahmoud |
Mendeley readers
The data shown below were compiled from readership statistics for 7 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 7 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 2 | 29% |
| Student > Ph. D. Student | 1 | 14% |
| Student > Doctoral Student | 1 | 14% |
| Researcher | 1 | 14% |
| Unknown | 2 | 29% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 2 | 29% |
| Physics and Astronomy | 1 | 14% |
| Chemistry | 1 | 14% |
| Materials Science | 1 | 14% |
| Unknown | 2 | 29% |