The materials in this repository are essentially a collection of lecture notes introducing certain topics of interest in statistical modeling, data science, and machine learning. Our target audience is intellectually curious students and IT practitioners interested in understanding the reasoning and mathematical concepts underlying commonly used R and Python packages in these fields. We have tried to keep our treatment of the mathematics intentionally light, so that the materials will be accessible to anyone with a math background similar to that of an undergraduate in a STEM discipline. Although our central goal is to provide conceptual understanding, we have strived to do this through a heavily applications-centric perspective.
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