1 |
M. Abadi, A. Agarwal et al., "Tensorflow: large-scale machine learning on heterogeneous distributed systems," Software available from tensorflow.org. 2016.
|
2 |
Pedregosa et al., "Scikit-learn: machine learning in python," The Journal of Machine Learning Research 12, pp. 2825-2830, 2011.
|
3 |
Tianqi Chen et al., "MXNet: a flexible and efficient machine learning library for heterogeneous distributed systems," arXiv e-prints abs/1512.01274, 2015.
|
4 |
Google Cloud AutoML, available from https://cloud.google.com/automl/
|
5 |
Amazon SageMaker, available from https://aws.amazon.com/ko/sagemaker/
|
6 |
Google Cloud AI, available from https://cloud.google.com/
|
7 |
J. Barnes, "Azure machine learning," Microsoft Azure Esstntials. 1st ed, Microsoft.
|
8 |
Kaggle: your home for data science, available from https://kaggle.com/
|
9 |
J. Vanschoren et al., "OpenML: networked science in machine learning," SIGKDD Explorations 15(2), pp. 49-60, 2013.
DOI
|
10 |
EDISON: EDucation-research-industry Integration through Simulation On the Net, available from https://www.edison.re.kr
|
11 |
T. Kluyver et al., "Jupyter notebooks: a publishing format for reproducible computational workflows," Positioning and Power in Academic Publishing: Players, Agents and Agendas, pp. 87-90, 2016.
|
12 |
Swarm: a docker-native clustering system, available from https://github.com/docker/swarm/
|
13 |
J. Lee et al., "KISTI-ML Platform: A Practical Guide to Machine Learning through the Automatic Code Generation with Your Own Datasets," KISS the 10th International Conference on Internet (ICONI), Cambodia, Dec. 2018.
|
14 |
EDISON-AI: a specialized Artificial Intelligence and Data Platform, available from https://www.edison.re.kr/web/ai
|
15 |
EDISON-PRAGMA: a specialized EDISON platform at Pacific Rim Application and Grid Middleware Assembly, available from https://www.edison.re.kr/web/pragma
|
16 |
H. Park, "Personal Credit Evaluation System through Telephone Voice Analysis: By Support Vector Machine," Journal of Internet Computing and Services, vol. 19, no. 6, pp. 63-72, 2018. https://doi.org/10.7472/jksii.2018.19.6.63
DOI
|
17 |
IBM WATSON, avail from https://www.ibm.com/watson
|
18 |
H. Agrawal, C. S. Mathialagan et al., "CloudCV: Large Scale Distributed Computer Vision as a Cloud Service," In Mobile Cloud Visual Media Computing, Springer, pp. 265-290, 2015. https://doi.org/10.1007/978-3-319-24702-1_11
|
19 |
H. Lee, "Development of Supervised Machine Learning based Catalog Entry Classification and Recommendation System," Journal of Internet Computing and Services, vol. 20, no. 1, pp. 57-65, 2019. https://doi.org/10.7472/jksii.2019.20.1.57
DOI
|
20 |
G. Shin, D. Kim, S. Hong and M. Han, "The Identification Framework for source code author using Authorship Analysis and CNN," Journal of Internet Computing and Services, vol. 19, no. 5, pp. 33-41, 2018. https://doi.org/10.7472/jksii.2018.19.5.33
DOI
|