Search for tag: "regression"

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18:06 Discussion Week 8 Lauren Hennelly Discussion Week 8 Lauren Hennelly	Discussion Week 8 Lauren Hennelly productivity primary ndvi light plants variation kind temperature latitude model photosynthesis lights biomass energy regression graph linear precipitation axis colors From Lauren Hennelly 0 likes 15 plays 0
01:02 UFWH 2021 - Caroline Long_Food Security and the… UFWH 2021 - Caroline Long_Food Security and the California Nutrition Incentive Program	UFWH 2021 - Caroline Long_Food Security and the California Nutrition Incentive Program food language participants differences status association siena dollar shoppers nutrition cnv effectiveness variables predictor scene evidence regression frequency analysis spanish From Andrea Thompson 0 likes 0 plays 0
20:58 VEN290 - A comparison of rootstocks potassium… VEN290 - A comparison of rootstocks potassium accumulation and evaluation of petiole potassium content as an indicator for berry potassium content	VEN290 - A comparison of rootstocks potassium accumulation and evaluation of petiole potassium content as an indicator for berry potassium content Exit seminar by Spencer Jones, MS candidate in Viticulture and Enology. potassium root concentration soil uptake content petiole accumulation juice stocks vineyard conditions correlation ions roots effect rootstock axis ph regression From Dario Cantu 0 likes 18 plays 0
17:11 mat168-modeling2 mat168-modeling2	mat168-modeling2 optimization error variables problem equations algebra problems function sum linear solution milk distance regression choice thing constraints sense equation matrix From Jesus De Loera 0 likes 144 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 16 plays 0
23:08 Discussion-A-11-24-20 Discussion-A-11-24-20	Discussion-A-11-24-20 decision deviation outlook trees tree dataset attributes values attribute training model steps reduction class regression target complexity parameter variance questions From Dhruvatara Bhogishetty 0 likes 65 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 129 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 90 plays 0
13:08 Section 1.2 Example 2/3 - Linear Fit (Google… Section 1.2 Example 2/3 - Linear Fit (Google Sheets)	Section 1.2 Example 2/3 - Linear Fit (Google Sheets) Linear Regression using Google Sheets; modeling; polynomial vs linear fit model chart linear sheets table points google regression lots thing things stuff function level calculus trend series notice axis editor From Jeffrey Nichols 0 likes 928 plays 0
20:26 ESP 168a: Video 4.4 - Cost Benefit Analysis 1 ESP 168a: Video 4.4 - Cost Benefit Analysis 1	ESP 168a: Video 4.4 - Cost Benefit Analysis 1 Hedonic Regression kind characteristics houses regression variables effect superfund properties beta process quality sites thing model goods risk disease temperature cream ice From Frances Moore 0 likes 154 plays 0
13:38 ESP 168a: Video 2.4 - Models and Modeling 4 ESP 168a: Video 2.4 - Models and Modeling 4	ESP 168a: Video 2.4 - Models and Modeling 4 Parameterizing and Training model error root parameters difference kind output function models variables graph combination step observations regression point temperature variable input equations From Frances Moore 0 likes 157 plays 0
52:26 Alvin D. Wiggins Alvin D. Wiggins	Alvin D. Wiggins In this conversation, Emeritus Professor Alvin Wiggins discusses his career at the University of California at Davis, including important persons and events that shaped his interests and scholarship,… mathematical sciences statistics university & college students studying multivariate methods analysis of variance and covariance research education and upbringing linear theory including regression mathematicians faculties berkeley schools mathematics courses (education) scientists probability calculus From Emeriti 0 likes 46 plays 0