Search for tag: "regression"

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49:18 NLU+ Lecture 5: Feed Forward Neural Networks NLU+ Lecture 5: Feed Forward Neural Networks	NLU+ Lecture 5: Feed Forward Neural Networks Feed Forward Neural Networks informatics nlu vector function model probability thing lot output word perceptron distribution things network words models bunch input parameters language regression matrix From Ruairi O'Hare on December 29th, 2020 0 likes 5 plays 0 Licence Type All rights reserved The University of Edinburgh Language English Date Created December 29th, 2020
29:06 USMR lecture 10 part 3 USMR lecture 10 part 3	USMR lecture 10 part 3 how to analyse and write up (RStudio) usmr psychology ppls statistics rstats age document night alcohol blood tab values chunk thing things table axis factor speed drink question bit model regression dollar word observations plot column driving numbers function panda From Martin Corley on November 27th, 2020 0 likes 265 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 27th, 2020
15:34 USMR lecture 10 part 1 USMR lecture 10 part 1	USMR lecture 10 part 1 ANOVA vs GLM usmr psychology ppls statistics rstats model linear anova analysis things utility variance table bit reaction slide fact distribution times toy play regression lecture lots measures From Martin Corley on November 27th, 2020 0 likes 114 plays 0 Course Code PSYL11053 Licence Type Creative Commons - Attribution Language English Date Created November 27th, 2020
01:01:39 IDS - Week 09 - Code along IDS - Week 09 - Code along	IDS - Week 09 - Code along Code along for Week 09 data science rstats variables things model variable thing dataframe bit function recipe regression models training room week outcome sample parking columns factor spaces From Mine Cetinkaya-Rundel on November 19th, 2020 0 likes 9 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
19:28 IDS - Week 09 - 02 - Logistic regression IDS - Week 09 - 02 - Logistic regression	IDS - Week 09 - 02 - Logistic regression Predicting binary outcomes with logistic regression data science rstats spam model characters probability linear emails function logit regression minus success outcome specificity sensitivity infinity bit rate inbox slope models From Mine Cetinkaya-Rundel on November 16th, 2020 0 likes 22 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
09:10 IDS - Week 09 - 01 - Keeping up with IDS IDS - Week 09 - 01 - Keeping up with IDS	IDS - Week 09 - 01 - Keeping up with IDS Keeping up with IDS - Week 09 data science rstats week model models projects bit points things feedback regression outcome answer variable residuals employment salary end teams friday workshop testing From Mine Cetinkaya-Rundel on November 16th, 2020 0 likes 13 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
20:52 IDS - Week 08 - 05 - Models with multiple… IDS - Week 08 - 05 - Models with multiple predictors	IDS - Week 08 - 05 - Models with multiple predictors Linear regression with multiple predictors data science rstats model volume variables variable models effects interaction paperback weight variability cover regression numbers level bit sense slope output grams class From Mine Cetinkaya-Rundel on November 11th, 2020 0 likes 18 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
23:55 IDS - Week 08 - 06 - More models with multiple… IDS - Week 08 - 06 - More models with multiple predictors	IDS - Week 08 - 06 - More models with multiple predictors More discussion on main and interaction effects and comparing adjusted R-squared values of models data science rstats model surface artists slope artist paintings variable interaction effects log living intercept painting slopes lines width level regression height variables From Mine Cetinkaya-Rundel on November 11th, 2020 0 likes 17 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
29:03 IDS - Week 08 - 03 - Fitting and interpreting… IDS - Week 08 - 03 - Fitting and interpreting models	IDS - Week 08 - 03 - Fitting and interpreting models Fitting and interpreting models with numerical and categorical predictors. data science rstats model slope models painting paintings variables variable intercept packages residuals output inches regression formula width bit level levels numbers correlation From Mine Cetinkaya-Rundel on November 9th, 2020 0 likes 23 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
49:42 Houman Owhadi 2 November On learning adapted… Houman Owhadi 2 November On learning adapted kernels for numerical approximation	Houman Owhadi 2 November On learning adapted kernels for numerical approximation ICMS OWNA An automated programme has been used to generate the subtitles on this talk. icms owna function space problem candle input target question points image vector theta solution norm regression process approximation error feature dagger registration From ALASDAIR SPRATT on November 3rd, 2020 0 likes 127 plays 0 Course Code ICMS Publisher ICMS Licence Type All rights reserved Language English Date Created November 3rd, 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
10:50 Sharma & Sankaran (2011): Interpreting the… Sharma & Sankaran (2011): Interpreting the results tables	Sharma & Sankaran (2011): Interpreting the results tables This is an 11-minute video dedicated to explaining how Sharma and Sankaran (2011)'s Tables 5-7 should be read and interpreted. Each table is an example of a Varbrul model, a specific kind of… varbrul statistics logistic regression statistical literacy sociolinguistics linguistics model regression level paper effect variant table weights variation word retroflex factor week range deviance context rule position analysis sense From Lauren Hall-Lew on October 28th, 2020 0 likes 44 plays Course Code LASC11091 Licence Type Creative Commons - Attribution Language American English Date Created October 28th, 2020
22:59 T1_2_Regression_Testing T1_2_Regression_Testing	T1_2_Regression_Testing This part of the lecture covers Regression Testing, gives a few examples from past EPCC projects and discusses the selection of suitable tests. regression testing case study selection testing test oracle From Evgenij Belikov on October 7th, 2020 0 likes 56 plays 0 Course Code INFD11016 Licence Type Creative Commons - Attribution
10:48 Supervised Learning Supervised Learning	Supervised Learning Supervised Learning hds tree decision classification training learning networks regression trees layers values neighbors variables output prediction model algorithm examples neuron node york From Dimitrios Doudesis on June 17th, 2020 0 likes 88 plays 0 Course Code GLHE11086 Licence Type Creative Commons - Attribution Share A Like
03:47 Applications of Linear Regression Applications of Linear Regression	Applications of Linear Regression Applications of Linear Regression - week 3 applications of linear regression caption complete From Calum Macphail on July 24th, 2019 0 likes 43 plays 0 Course Code PA1.3x Statistical Predictive Modelling Licence Type Creative Commons - Attribution Share A Like Language English

Search for tag: "regression"

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