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Mendeley readers
Chapter title |
TF Boosted Trees: A Scalable TensorFlow Based Framework for Gradient Boosting
|
---|---|
Chapter number | 44 |
Book title |
Machine Learning and Knowledge Discovery in Databases
|
Published by |
Springer, Cham, September 2017
|
DOI | 10.1007/978-3-319-71273-4_44 |
Book ISBNs |
978-3-31-971272-7, 978-3-31-971273-4
|
Authors |
Natalia Ponomareva, Soroush Radpour, Gilbert Hendry, Salem Haykal, Thomas Colthurst, Petr Mitrichev, Alexander Grushetsky |
Mendeley readers
The data shown below were compiled from readership statistics for 71 Mendeley readers of this research output. Click here to see the associated Mendeley record.
Geographical breakdown
Country | Count | As % |
---|---|---|
Unknown | 71 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
---|---|---|
Researcher | 18 | 25% |
Other | 15 | 21% |
Student > Ph. D. Student | 14 | 20% |
Student > Master | 9 | 13% |
Student > Bachelor | 4 | 6% |
Other | 7 | 10% |
Unknown | 4 | 6% |
Readers by discipline | Count | As % |
---|---|---|
Computer Science | 47 | 66% |
Engineering | 7 | 10% |
Physics and Astronomy | 3 | 4% |
Agricultural and Biological Sciences | 2 | 3% |
Mathematics | 2 | 3% |
Other | 5 | 7% |
Unknown | 5 | 7% |