STATS 102B
Introduction to Computation and Optimization for Statistics
Description: Lecture, three hours; discussion, one hour. Requisites: courses 100B, 102A, Mathematics 33A. Introduction to computational methods and optimization useful for statisticians. Use of computer programming to solve statistical problems. Topics include vector/matrix computation, multivariate normal distribution, principal component analysis, clustering analysis, gradient-based optimization, EM algorithm for missing data, and dynamic programming. P/NP or letter grading.
Units: 4.0
Units: 4.0
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Spring 2020 - I don't say this lightly. She is by far the worst teacher of knowledge I've ever witnessed in my entire life, perhaps throughout the entire existence of human history. She is, without a doubt, 95% of the reason for my crippling depression. The other 5% is the death of my dog. You heard it right folks, she makes me 19 times more depressed than the death of my dog. Her homework ruins my days, make me fall into an existential crisis and makes me cry. I truly cannot tell you this feeling of dread I experience thinking about her class, it's a feeling I hope none of you reading this will ever need to experience.
Spring 2020 - I don't say this lightly. She is by far the worst teacher of knowledge I've ever witnessed in my entire life, perhaps throughout the entire existence of human history. She is, without a doubt, 95% of the reason for my crippling depression. The other 5% is the death of my dog. You heard it right folks, she makes me 19 times more depressed than the death of my dog. Her homework ruins my days, make me fall into an existential crisis and makes me cry. I truly cannot tell you this feeling of dread I experience thinking about her class, it's a feeling I hope none of you reading this will ever need to experience.
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