This rubric covers the use of statistical tools working on large datasets to create models and derive inferences, as well as coverage of the field in its entirety. This differs from machine learning primarily in that the latter focuses on functional gradient analysis or neural networks (kernels) to derive models.
Data annotation is at the forefront of the recent revolution in healthcare AI, driving continuous progress in the field through continuous innovation through the idea… Read More »Datasets and Data Annotation — The Building Blocks for Healthcare AI
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