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06:04 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 110 plays 0
03:40 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 23 plays 0
05:48 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 30 plays 0
09:53 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 73 plays 0
34:25 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 13 plays 0
04:44 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 97 plays 0
09:24 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 123 plays 0
51:21 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 88 plays 0
01:02:50 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 Matt Bishop 0 likes 16 plays 0
01:03:01 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