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A high-bias, low-variance introduction to Machine Learning for physicists

, , , , , , and . (2018)cite arxiv:1803.08823Comment: Notebooks have been updated. 122 pages, 78 figures, 20 Python notebooks.
DOI: 10.1016/j.physrep.2019.03.001

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A high-bias, low-variance introduction to Machine Learning for physicists, , , , , , and . (2018)cite arxiv:1803.08823Comment: Notebooks have been updated. 122 pages, 78 figures, 20 Python notebooks.A Novel Improved Algorithm for Protein Classification Through a Graph Similarity Approach., , , and . ICIC (2), volume 12464 of Lecture Notes in Computer Science, page 251-261. Springer, (2020)Novel Algorithm for Improved Protein Classification Using Graph Similarity., , , , , and . IEEE ACM Trans. Comput. Biol. Bioinform., 19 (6): 3135-3143 (2022)Heterogeneous Federated Learning Through Multi-Branch Network., , , , and . ICME, page 1-6. IEEE, (2021)