Machine Learning Analytics
Machine Learning Analytics is a scholarly contribution within the domain of Analytics Strategy that introduces a method, model, framework, or metric specifically designed to enable or enhance data-driven decision-making through algorithms that iteratively learn from and adapt to empirical data patterns.
1.1K
Publications
92.9K
Citations
4.1K
Authors
1.5K
Institutions
Publications per year
2017–2026
920
Parents
1.1K
From Data Mining to Knowledge Discovery in Databases
1996 · 4.7K citations
Machine learning on big data: Opportunities and challenges
Lina Zhou, Shimei Pan, Jianwu Wang et al. · Neurocomputing · 2017 · 1.2K citations · Full text
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Massachusetts Institute of Technology
Cambridge, United States
18 h-index
43 publications
4.8K citations
University of California, Berkeley
Berkeley, United States
17 h-index
45 publications
4.9K citations
Carnegie Mellon University
Pittsburgh, United States
15 h-index
39 publications
5.5K citations
Google (United States)
Mountain View, United States
15 h-index
37 publications
7.6K citations
New York University
New York, United States
15 h-index
44 publications
3.5K citations
Georgia Institute of Technology
Atlanta, United States
13 h-index
27 publications
1.1K citations
Stanford University
Stanford, United States
13 h-index
40 publications
6.2K citations
University of Southern California
Los Angeles, United States
13 h-index
18 publications
1.7K citations
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Repository · 37 publications · 1.8K citations
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Repository · 26 publications · 876 citations
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15 publications · 2.8K citations
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9 publications · 240 citations
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8 publications · 530 citations
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