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

Authors

4.1K

  1. JV
    John V. Guttag

    Massachusetts Institute of Technology, United States

    4 publications · 794 citations

    4

    h-index

  2. TK
    Tim Kraska

    Massachusetts Institute of Technology, United States

    4 publications · 97 citations

    4

    h-index

  3. AK
    Arun Kumar

    University of California San Diego, United States

    4 publications · 244 citations

    4

    h-index

  4. NP
    Neoklis Polyzotis

    University of California, Santa Cruz, United States

    4 publications · 330 citations

    4

    h-index

  5. HS
    Harini Suresh

    Massachusetts Institute of Technology, United States

    4 publications · 794 citations

    4

    h-index

1–5 of 4.1K

Venues

  1. arXiv (Cornell University)

    Repository · 37 publications · 1.8K citations

    20

    h-index

  2. SSRN Electronic Journal

    Repository · 26 publications · 876 citations

    19

    h-index

  3. IEEE Access

    15 publications · 2.8K citations

    15

    h-index

  4. Scientific Reports

    9 publications · 240 citations

    9

    h-index

  5. Sustainability

    8 publications · 530 citations

    8

    h-index

1–5