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Mendeley readers
| Chapter title |
Introduction to Deep Learning
|
|---|---|
| Chapter number | 3 |
| Book title |
Beginning Anomaly Detection Using Python-Based Deep Learning
|
| Published by |
Apress, Berkeley, CA, January 2019
|
| DOI | 10.1007/978-1-4842-5177-5_3 |
| Book ISBNs |
978-1-4842-5176-8, 978-1-4842-5177-5
|
| Authors |
Sridhar Alla, Suman Kalyan Adari |
Mendeley readers
The data shown below were compiled from readership statistics for 377 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 377 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 86 | 23% |
| Student > Master | 67 | 18% |
| Researcher | 51 | 14% |
| Student > Bachelor | 33 | 9% |
| Student > Doctoral Student | 20 | 5% |
| Other | 61 | 16% |
| Unknown | 59 | 16% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 84 | 22% |
| Computer Science | 74 | 20% |
| Agricultural and Biological Sciences | 21 | 6% |
| Physics and Astronomy | 15 | 4% |
| Biochemistry, Genetics and Molecular Biology | 12 | 3% |
| Other | 90 | 24% |
| Unknown | 81 | 21% |