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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 156 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 139 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 141 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 159 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 174 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 2,027 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 2,685 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 2,170 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 2,411 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 2,809 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 2,169 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 2,127 plays 0 Licence Type Creative Commons - Attribution

Search for tag: "predictor"

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