Search for tag: "squares"

"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…

+19 More
From  ATS Video 0 likes 9 plays 0  

mat180-2022-03-11

+19 More
From  Matthias Koeppe 0 likes 5 plays 0  

mat180-2022-03-07

+19 More
From  Matthias Koeppe 0 likes 4 plays 0  

mat180-2022-03-02

+19 More
From  Matthias Koeppe 0 likes 9 plays 0  

mat180-2022-02-28

+19 More
From  Matthias Koeppe 0 likes 5 plays 0  

mat180-2022-02-25

+19 More
From  Matthias Koeppe 0 likes 5 plays 0  

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

+19 More
From  David Doty 0 likes 258 plays 0  

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

+19 More
From  David Doty 0 likes 33 plays 0  

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

+19 More
From  David Doty 0 likes 44 plays 0  

ECS 220 1a:2.1 problems and solutions

+19 More
From  David Doty 0 likes 94 plays 0  

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…

+19 More
From  Matthias Koeppe 0 likes 23 plays 0  

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? …

+19 More
From  Thi Nguyen 0 likes 104 plays 0  

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…

+19 More
From  Thi Nguyen 0 likes 142 plays 0  

FST117_L8_MultipleRegression

+16 More
From  Julien Delarue 0 likes 108 plays 0  

MHI 289I, Fall 2020, Lecture #5

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

+19 More
From  Matthew Bishop 0 likes 18 plays 0  

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…

+21 More
From  Jesus De Loera 0 likes 41 plays 0