Historical instructor
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Covers statistical inference methods including parameter estimation, Bayesian approaches, hypothesis testing, ANOVA, and linear regression for data science applications.
No offering record · Spring 2026 · Sources
with this instructor · course overall, matching historical terms
historical GPA · grades
Spring 2024–Spring 2026 · limited sampleStatistical Learning covers complexity theory, Hilbert spaces, Gaussian processes, Variational Analysis, and concentration inequalities for prediction and decision making.
No offering record · Spring 2026 · Sources
with this instructor · course overall, matching historical terms
historical GPA · grades
Spring 2022–Spring 2026Distinct courses recorded per term
Explore courses taught by this instructor →Teaching history may be incomplete. Course pages contain course-specific feedback and citations.
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