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Mendeley readers
| Chapter title |
A Systematic Review on Supervised and Unsupervised Machine Learning Algorithms for Data Science
|
|---|---|
| Chapter number | 1 |
| Book title |
Supervised and Unsupervised Learning for Data Science
|
| Published by |
Springer, Cham, January 2020
|
| DOI | 10.1007/978-3-030-22475-2_1 |
| Book ISBNs |
978-3-03-022474-5, 978-3-03-022475-2
|
| Authors |
Mohamed Alloghani, Dhiya Al-Jumeily, Jamila Mustafina, Abir Hussain, Ahmed J. Aljaaf, Alloghani, Mohamed, Al-Jumeily, Dhiya, Mustafina, Jamila, Hussain, Abir, Aljaaf, Ahmed J. |
Mendeley readers
The data shown below were compiled from readership statistics for 678 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
| Country | Count | As % |
|---|---|---|
| Unknown | 678 | 100% |
Demographic breakdown
| Readers by professional status | Count | As % |
|---|---|---|
| Student > Master | 80 | 12% |
| Student > Ph. D. Student | 71 | 10% |
| Student > Bachelor | 49 | 7% |
| Researcher | 31 | 5% |
| Student > Doctoral Student | 21 | 3% |
| Other | 77 | 11% |
| Unknown | 349 | 51% |
| Readers by discipline | Count | As % |
|---|---|---|
| Engineering | 83 | 12% |
| Computer Science | 80 | 12% |
| Business, Management and Accounting | 18 | 3% |
| Medicine and Dentistry | 16 | 2% |
| Biochemistry, Genetics and Molecular Biology | 16 | 2% |
| Other | 110 | 16% |
| Unknown | 355 | 52% |