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Mendeley readers
| Chapter title |
SVMs and Random Forests
|
|---|---|
| Chapter number | 2 |
| Book title |
Applied Machine Learning
|
| Published by |
Springer, Cham, January 2019
|
| DOI | 10.1007/978-3-030-18114-7_2 |
| Book ISBNs |
978-3-03-018113-0, 978-3-03-018114-7
|
| Authors |
David Forsyth, Forsyth, David |
Mendeley readers
The data shown below were compiled from readership statistics for 4 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 4 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 1 | 25% |
| Researcher | 1 | 25% |
| Student > Postgraduate | 1 | 25% |
| Student > Master | 1 | 25% |
| Readers by discipline | Count | As % |
|---|---|---|
| Environmental Science | 1 | 25% |
| Computer Science | 1 | 25% |
| Agricultural and Biological Sciences | 1 | 25% |
| Chemistry | 1 | 25% |