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"Fibonacci, congruent numbers and elliptic curves" - Winston Ko Public Lecture Series

Dr. Kenneth A. Ribet Professor Emeritus Department of Mathematics UC Berkeley The perfect squares (1, 4, 25, 36 and so forth) were studied extensively by Leonardo Fibonacci in his thirteenth…

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mat180-2022-03-11

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mat180-2022-03-07

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mat180-2022-03-02

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mat180-2022-02-28

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mat180-2022-02-25

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ECS 120 5b:4 a non-regular unary language

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ECS 220 3a:2-5.3 Tromino Domino-Tiling

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ECS 220 2c:5.3-4 Tiling and Boolean circuits

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ECS 220 1a:2.1 problems and solutions

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2020-12-09-b: Convex piecewise linear modeling (MAT 168 Optimization)

Modeling convex piecewise linear functions in a data science application (ℓ1 regression). notes-2020-12-09-b.pdf Videos and all other materials are copyright 2020 Matthias Köppe and shared as…

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VEN123L Video 7.5 - Reference Method Comparison

What are some ways we can compare our method against a reference method? How can linear regression be used to compare datasets? What parameters in the regression equation should be considered? …

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VEN123L Video 5.4 - Calibration - Linear Least Squares Regression

What is calibration? What's going on when Excel fits a trendline to data? How do we translate instrumental response (e.g. absorbance) into concentration? Copyright Thi Nguyen Do not distribute…

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FST117_L8_MultipleRegression

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MHI 289I, Fall 2020, Lecture #5

This is a recording of the fifth lecture, made by Zoom.

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MADDD-HopkinsSpring2020

Talk by Sam Hopkins (UC Berkeley) Title: From Proofs to Algorithms for High-Dimensional Statistics Abstract: I will discuss a novel technique, "Proofs to Algorithms," for designing and…

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