Identify the strengths, weaknesses and caveats of different models and choose the most appropriate model for a given statistical problem. Determine what type of data and problems require supervised vs ...

how to tune those models, and determining whether other options will provide certain trade-offs. We will cover Regression, Classification, Trees, Resampling, Unsupervised techniques, and much more! In ...

The study is useful for advancing spatial transcriptomics through its novel regression-based linear model (glmSMA) that integrates single-cell RNA-seq with spatial reference atlases, though its ...

Dr. James McCaffrey from Microsoft Research presents a complete end-to-end demonstration of the linear support vector ...