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X Demographics
Mendeley readers
Chapter title |
Unsupervised Learning: Deep Learning
|
---|---|
Chapter number | 8 |
Book title |
Industrial Machine Learning
|
Published by |
Apress, Berkeley, CA, January 2020
|
DOI | 10.1007/978-1-4842-5316-8_8 |
Book ISBNs |
978-1-4842-5315-1, 978-1-4842-5316-8
|
Authors |
Andreas François Vermeulen, Vermeulen, Andreas François |
X Demographics
The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
Geographical breakdown
Country | Count | As % |
---|---|---|
United States | 1 | 100% |
Demographic breakdown
Type | Count | As % |
---|---|---|
Members of the public | 1 | 100% |
Mendeley readers
The data shown below were compiled from readership statistics for 29 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 29 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 8 | 28% |
Student > Master | 6 | 21% |
Student > Ph. D. Student | 3 | 10% |
Other | 2 | 7% |
Student > Doctoral Student | 2 | 7% |
Other | 1 | 3% |
Unknown | 7 | 24% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 8 | 28% |
Engineering | 8 | 28% |
Materials Science | 2 | 7% |
Physics and Astronomy | 1 | 3% |
Business, Management and Accounting | 1 | 3% |
Other | 2 | 7% |
Unknown | 7 | 24% |