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Statistical Machine Learning for Researchers
2023This workshop is designed to empower researchers with the fundamentals of machine learning using R. Participants will learn the key principles that make machine learning so effective, powering the modern AI and deep learning revolution. Through hands-on exercises, participants will gain experience applying a variety of flexible and scalable statistical
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Machine Learning in Applied Statistics
Model Assisted Statistics and Applications, 2017Stan Lipovetsky, Jong-Min Kim
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Statistical thinking, machine learning
Journal of Clinical Epidemiology, 2019Jiang, Bian +3 more
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Some Universal Insights on Divergences for Statistics, Machine Learning and Artificial Intelligence
Geometric Structures of Information, 2018M. Broniatowski, W. Stummer
semanticscholar +1 more source
Machine learning for microbiologists
Nature Reviews Microbiology, 2023Francesco Asnicar +2 more
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Machine learning: Trends, perspectives, and prospects
Science, 2015Michael I. Jordan, T. Mitchell
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Machine learning sheds light on microbial dark proteins
Nature Reviews Microbiology, 2023A T Hammack +2 more
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Machine learning methods to model multicellular complexity and tissue specificity
Nature Reviews Materials, 2021Rachel S G Sealfon +2 more
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