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Mendeley readers
| Title |
Predictive Analytics with Microsoft Azure Machine Learning
|
|---|---|
| Published by |
Apress, August 2015
|
| DOI | 10.1007/978-1-4842-1200-4 |
| ISBNs |
978-1-4842-1201-1, 978-1-4842-1200-4
|
| Authors |
Barga, Roger, Fontama, Valentine, Tok, Wee Hyong |
Mendeley readers
The data shown below were compiled from readership statistics for 136 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Switzerland | 1 | <1% |
| Brazil | 1 | <1% |
| South Africa | 1 | <1% |
| Egypt | 1 | <1% |
| United States | 1 | <1% |
| Unknown | 131 | 96% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 29 | 21% |
| Student > Ph. D. Student | 18 | 13% |
| Researcher | 13 | 10% |
| Student > Bachelor | 11 | 8% |
| Student > Doctoral Student | 6 | 4% |
| Other | 22 | 16% |
| Unknown | 37 | 27% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 45 | 33% |
| Engineering | 18 | 13% |
| Agricultural and Biological Sciences | 6 | 4% |
| Business, Management and Accounting | 6 | 4% |
| Physics and Astronomy | 4 | 3% |
| Other | 16 | 12% |
| Unknown | 41 | 30% |