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"Fibonacci, congruent numbers and elliptic… duration 1 hour 12 minutes "Fibonacci, congruent numbers and elliptic… "Fibonacci, congruent numbers and elliptic curves" - Winston Ko Public Lecture Series	"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… numbers congruent curve curves solutions conjecture thing rank question things theorem equation squares mathematics function points point equations theory times From ATS Video 0 likes 4 plays 0
mat180-2022-03-11 duration 49 minutes 12 seconds mat180-2022-03-11 mat180-2022-03-11	mat180-2022-03-11 inequalities inequality transpose lambda times vector linear combination proof multipliers thing strategy cube lemmas cone beta polygon squares sum structure From Matthias Koeppe 0 likes 1 plays 0
mat180-2022-03-07 duration 50 minutes 43 seconds mat180-2022-03-07 mat180-2022-03-07	mat180-2022-03-07 inequality proof degree problem hand triangle side bit times linear things squares minus inequalities factors convexity certificate solution tactics numbers From Matthias Koeppe 0 likes 2 plays 0
mat180-2022-03-02 duration 50 minutes 14 seconds mat180-2022-03-02 mat180-2022-03-02	mat180-2022-03-02 times squares sum pi x1 cube polynomials polynomial square sos front epsilon distance sums gis constraints functions identity minus argument From Matthias Koeppe 0 likes 6 plays 0
mat180-2022-02-28 duration 12 minutes 0 seconds mat180-2022-02-28 mat180-2022-02-28	mat180-2022-02-28 examples inequality inequalities positivity function gis sum minutes relation tilda variables tilde cube sense bit fact squares correction place interaction From Matthias Koeppe 0 likes 3 plays 0
mat180-2022-02-25 duration 51 minutes 17 seconds mat180-2022-02-25 mat180-2022-02-25	mat180-2022-02-25 polynomials squares thing sum degree negation certificate theorem inequalities equations emptiness polynomial things problem form optimization characterization infeasibility systems solution From Matthias Koeppe 0 likes 2 plays 0
ECS 120 5b:4 a non-regular unary language duration 6 minutes 4 seconds ECS 120 5b:4 a non-regular unary language ECS 120 5b:4 a non-regular unary language	ECS 120 5b:4 a non-regular unary language square string length energy extension language 2k 1s g. squares strings claim json distance thing spending copies expression integer cancel From David Doty 0 likes 193 plays 0
ECS 220 3a:2-5.3 Tromino Domino-Tiling duration 3 minutes 40 seconds ECS 220 3a:2-5.3 Tromino Domino-Tiling ECS 220 3a:2-5.3 Tromino Domino-Tiling	ECS 220 3a:2-5.3 Tromino Domino-Tiling tile region matching domino trauma checkerboard choice tiles problem choices thing bipartite squares complete question square tiling graph nose eat From David Doty 0 likes 31 plays 0
ECS 220 2c:5.3-4 Tiling and Boolean circuits duration 5 minutes 48 seconds ECS 220 2c:5.3-4 Tiling and Boolean circuits ECS 220 2c:5.3-4 Tiling and Boolean circuits	ECS 220 2c:5.3-4 Tiling and Boolean circuits tile squares formula square inputs circuit orange region unit fan gates rectangle integers gate edges tiles question tiling model lot From David Doty 0 likes 42 plays 0
ECS 220 1a:2.1 problems and solutions duration 9 minutes 53 seconds ECS 220 1a:2.1 problems and solutions ECS 220 1a:2.1 problems and solutions	ECS 220 1a:2.1 problems and solutions problem divisor algorithm graph decision mod b. function path gcd string graphs squares machines definition star language strings sense inputs From David Doty 0 likes 89 plays 0
2020-12-09-b: Convex piecewise linear modeling… duration 34 minutes 25 seconds 2020-12-09-b: Convex piecewise linear modeling… 2020-12-09-b: Convex piecewise linear modeling (MAT 168 Optimization)	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… linear function variables convex problem sum loss formulation squares class objective b. relationship piecewise constraint times regression optimization solution matrix From Matthias Koeppe 0 likes 20 plays 0
VEN123L Video 7.5 - Reference Method Comparison duration 4 minutes 44 seconds VEN123L Video 7.5 - Reference Method Comparison VEN123L Video 7.5 - Reference Method Comparison	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? … method test reference error concentration methods increases slope regression squares difference sample question mind direction measure tilt analyte agreement axis From Thi Nguyen 0 likes 101 plays 0
VEN123L Video 5.4 - Calibration - Linear Least… duration 9 minutes 24 seconds VEN123L Video 5.4 - Calibration - Linear Least… VEN123L Video 5.4 - Calibration - Linear Least Squares Regression	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… response concentration calibration curve equation variable concentrations sample responses squares regression linear axis residuals variance background units slope mx thing From Thi Nguyen 0 likes 141 plays 0
FST117_L8_MultipleRegression duration 51 minutes 21 seconds FST117_L8_MultipleRegression FST117_L8_MultipleRegression	FST117_L8_MultipleRegression model regression variables variance values equation linear sum sweetness difference flavor squares strawberry lines slope sucrose table From Julien Delarue 0 likes 98 plays 0
MHI 289I, Fall 2020, Lecture #5 duration 1 hour 2 minutes MHI 289I, Fall 2020, Lecture #5 MHI 289I, Fall 2020, Lecture #5	MHI 289I, Fall 2020, Lecture #5 This is a recording of the fifth lecture, made by Zoom. loop python numbers thing things fib sum remainder integer fibonacci problem sequence squares break square statement questions bit integers error From Matthew Bishop 0 likes 17 plays 0
MADDD-HopkinsSpring2020 duration 1 hour 3 minutes MADDD-HopkinsSpring2020 MADDD-HopkinsSpring2020	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… mathematics data science algorithms proof squares identifiability problem algorithm sum samples inequalities clusters statistics problems kind question cluster polynomials parameters clustering distribution optimization From Jesus De Loera 0 likes 41 plays 0