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07:25 Partial Differential Equations Lecture 9 -… Partial Differential Equations Lecture 9 - MacCormack method in 2D	Partial Differential Equations Lecture 9 - MacCormack method in 2D This part of the lecture develops a 2D solver using the method of Fractional Steps and the MacCormack scheme and applies it to a test problem hyperbolic equation fractional steps numerical methods partial differential equations operator problem conditions function test step direction bit 2pi values delta 3e solution times scheme lecture rise corrector predictor timestep From David Ingram on February 16th, 2021 0 likes 14 plays 0 Course Code SCEE09004 Publisher School of Engineering Licence Type Creative Commons - Attribution Language English Date Created February 16th, 2021
05:26 Partial Differential Equations, Lecture 8b: TVD… Partial Differential Equations, Lecture 8b: TVD MacCormack	Partial Differential Equations, Lecture 8b: TVD MacCormack Here we implement the MacCormack scheme with a TVD correction in Matlab and apply it to a test problem tvd scheme maccormack method hyperbolic equation partial differential equations scheme solution correction function grid step tvd bit minus formula cell conditions prediction equations predictor steps discontinuities selection seconds likes From David Ingram on February 15th, 2021 0 likes 13 plays 0 Course Code SCEE09004 Publisher School of Engineering Licence Type Creative Commons - Attribution Date Created February 15th, 2021
19:12 dapr2(20-21)15.1 dapr2(20-21)15.1	dapr2(20-21)15.1 Lect29a squares effect variance sums sum variables beta variable age predictor gender effects predictors x1 proneness account accounts anger stuff semester From Leonidas Doumas on February 7th, 2021 0 likes 184 plays 0 Licence Type All rights reserved
06:53 IDS - Week 10 - 01 - Keeping up with IDS IDS - Week 10 - 01 - Keeping up with IDS	IDS - Week 10 - 01 - Keeping up with IDS Keeping up with IDS - Week 10 data science rstats week model coefficient correlation variables questions homework issues question predictor call class team projects progress relationship linear performance increases feedback From Mine Cetinkaya-Rundel on November 23rd, 2020 0 likes 15 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
12:28 USMR lecture 9 part 1 USMR lecture 9 part 1	USMR lecture 9 part 1 bigger regression models usmr psychology ppls statistics rstats age model method week hours phonics practise times predictors word interaction predictor things reading linear 3d command interactions coefficient intercept From Martin Corley on November 15th, 2020 0 likes 160 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 15th, 2020
14:34 USMR lecture 8 part 3 USMR lecture 8 part 3	USMR lecture 8 part 3 interactions usmr psychology ppls statistics age times week hours word method model practice interaction reading phonics intercept effects training predictor values slope coefficients graph surface From Martin Corley on November 8th, 2020 0 likes 140 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 8th, 2020
19:52 USMR lecture 8 part 2 USMR lecture 8 part 2	USMR lecture 8 part 2 categorical predictors usmr psychology ppls statistics rstats play model mode lego intercept error function toys values utility column linear zing factor difference things contrast predictor standard m0 From Martin Corley on November 8th, 2020 0 likes 143 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 14th, 2020
15:48 USMR lecture 8 part 1 USMR lecture 8 part 1	USMR lecture 8 part 1 Scaling usmr psychology ppls statistics rstats age model week intercept hours reading deviation effect change predictor axis outcome practice slope hour students standardization output fit function From Martin Corley on November 8th, 2020 0 likes 161 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 8th, 2020
19:30 USMR lecture 7 part 3 USMR lecture 7 part 3	USMR lecture 7 part 3 multiple regression usmr psychology ppls statistics rstats age model week hours predictor predictors intercept variance bit squares observation reading sums error slope models regression mod times residuals From Martin Corley on November 1st, 2020 0 likes 177 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 1st, 2020
04:00 Mean Squared Error and Outliers Mean Squared Error and Outliers	Mean Squared Error and Outliers Mean Squared Error and Outliers iaml evaluation error regression pattern fit prediction outlier reason metric effect truth problem deviations bath iteration values predictor relative mse weka nein From Nigel Goddard on September 21st, 2016 0 likes 2,138 plays 0 Licence Type Creative Commons - Attribution
04:43 Generalization Error Generalization Error	Generalization Error Generalization Error generalization error systems science predict philosophical terminology integral cybernetics general form measure bitmaps tells caption complete graphics file formats human communication classification training error system label observations scientific method evaluation function iaml probability effects regression difference probabilistic real numbers compute equation value political philosophy future values truth logic finite number distribution predictor error training generalization sum attribute step range tomorrow spam From Nigel Goddard on September 21st, 2016 0 likes 2,810 plays 0 Licence Type Creative Commons - Attribution
02:24 Examples of Overfitting and Underfitting Examples of Overfitting and Underfitting	Examples of Overfitting and Underfitting Examples of Overfitting and Underfitting iaml evaluation function regression middle crosses knots examples curve model dots boundary decision classification training error dot blue polynomial degree predictor kind From Nigel Goddard on September 21st, 2016 0 likes 2,279 plays 0 Licence Type Creative Commons - Attribution
03:23 Overfitting and Underfitting Overfitting and Underfitting	Overfitting and Underfitting Overfitting and Underfitting iaml evaluation training function models error model performance complexity prime middle numbers spectrum generalization future definition predictor overfitting fire overfit toilet fit From Nigel Goddard on September 20th, 2016 0 likes 2,535 plays 0 Licence Type Creative Commons - Attribution
01:27 Generalization in Machine Learning Generalization in Machine Learning	Generalization in Machine Learning Generalization in Machine Learning point predict labels number instances targets interesting decision system regression build algorithms evaluation accuracy iaml training data tomorrow outputs reason train effects percent accuracy predictor matter future values attributes classifier training classifiers neighbor trees level app model From Nigel Goddard on September 20th, 2016 0 likes 2,970 plays 0 Licence Type Creative Commons - Attribution
03:53 What is Classification? What is Classification?	What is Classification? What is Classification? iaml data boundary classification decision side predictor algorithm labels individuals space form learning tasks kind market function lectures boundaries points idea collection From Nigel Goddard on September 17th, 2016 1 likes 2,234 plays 0 Licence Type Creative Commons - Attribution
01:22 What is Regression? What is Regression?	What is Regression? What is Regression? iaml data numbers regression labels individuals classification representation examples supervision algorithm instances cases tasks dataset output observations predictor prediction f. difference task From Nigel Goddard on September 17th, 2016 1 likes 2,193 plays 0 Licence Type Creative Commons - Attribution

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