You are seeing a free-to-access but limited selection of the activity Altmetric has collected about this research output.
Click here to find out more.
Mendeley readers
| Chapter title |
Classic Machine Learning
|
|---|---|
| Chapter number | 3 |
| Book title |
Industrial Machine Learning
|
| Published by |
Apress, Berkeley, CA, January 2020
|
| DOI | 10.1007/978-1-4842-5316-8_3 |
| Book ISBNs |
978-1-4842-5315-1, 978-1-4842-5316-8
|
| Authors |
Andreas François Vermeulen, Vermeulen, Andreas François |
Mendeley readers
The data shown below were compiled from readership statistics for 14 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 14 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Ph. D. Student | 2 | 14% |
| Student > Doctoral Student | 1 | 7% |
| Student > Bachelor | 1 | 7% |
| Lecturer | 1 | 7% |
| Professor | 1 | 7% |
| Other | 3 | 21% |
| Unknown | 5 | 36% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 4 | 29% |
| Engineering | 3 | 21% |
| Decision Sciences | 1 | 7% |
| Earth and Planetary Sciences | 1 | 7% |
| Unknown | 5 | 36% |