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X Demographics
Mendeley readers
Title |
Hyperparameter Tuning for Machine and Deep Learning with R
|
---|---|
Published by |
Springer Nature Singapore, January 2023
|
DOI | 10.1007/978-981-19-5170-1 |
ISBNs |
978-9-81-195169-5, 978-9-81-195170-1
|
Editors |
Bartz, Eva, Bartz-Beielstein, Thomas, Zaefferer, Martin, Mersmann, Olaf |
X Demographics
The data shown below were collected from the profiles of 18 X users who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
Germany | 4 | 22% |
Brazil | 1 | 6% |
Ecuador | 1 | 6% |
Mexico | 1 | 6% |
Saudi Arabia | 1 | 6% |
South Africa | 1 | 6% |
United Kingdom | 1 | 6% |
United States | 1 | 6% |
Unknown | 7 | 39% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 14 | 78% |
Scientists | 3 | 17% |
Science communicators (journalists, bloggers, editors) | 1 | 6% |
Mendeley readers
The data shown below were compiled from readership statistics for 93 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 93 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Student > Bachelor | 9 | 10% |
Student > Master | 7 | 8% |
Lecturer | 5 | 5% |
Student > Postgraduate | 3 | 3% |
Student > Ph. D. Student | 3 | 3% |
Other | 10 | 11% |
Unknown | 56 | 60% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 11 | 12% |
Engineering | 10 | 11% |
Agricultural and Biological Sciences | 3 | 3% |
Social Sciences | 2 | 2% |
Linguistics | 1 | 1% |
Other | 8 | 9% |
Unknown | 58 | 62% |