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 |
Azure Machine Learning Studio
|
|---|---|
| Chapter number | 12 |
| Book title |
Machine Learning with Microsoft Technologies
|
| Published by |
Apress, Berkeley, CA, January 2019
|
| DOI | 10.1007/978-1-4842-3658-1_12 |
| Book ISBNs |
978-1-4842-3657-4, 978-1-4842-3658-1
|
| Authors |
Leila Etaati |
Mendeley readers
The data shown below were compiled from readership statistics for 41 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 41 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Bachelor | 7 | 17% |
| Student > Doctoral Student | 5 | 12% |
| Researcher | 4 | 10% |
| Student > Ph. D. Student | 3 | 7% |
| Student > Master | 3 | 7% |
| Other | 4 | 10% |
| Unknown | 15 | 37% |
| Readers by discipline | Count | As % |
|---|---|---|
| Computer Science | 14 | 34% |
| Engineering | 8 | 20% |
| Business, Management and Accounting | 1 | 2% |
| Physics and Astronomy | 1 | 2% |
| Chemical Engineering | 1 | 2% |
| Other | 4 | 10% |
| Unknown | 12 | 29% |