Search for tag: "regression"

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01:25 Successfully Evaluating Predictive Modelling … Successfully Evaluating Predictive Modelling Trailer	Successfully Evaluating Predictive Modelling Trailer Our free short online course, Successfully Evaluating Predictive Modelling will help you gain an in-depth understanding of evaluation and sampling approaches for effective predictive modelling using… ocp trailer activities lots regression analytics learners environments coding python opportunity readings videos learning tias probability predictions bayes models accuracy hands linear From Laurie Bowman on March 19th, 2021 0 likes 2 plays 0 Licence Type Creative Commons - Attribution Non Commercial Share A Like
27:31 EEA 2021 - Linear Regression EEA 2021 - Linear Regression	EEA 2021 - Linear Regression Lecture for linear regression and non-parametric equivalent. linear regression model variable correlation analysis relationship variables variance residuals heteroscedasticity bit models assumption variation values assumptions log test x. From Kyle Dexter on March 4th, 2021 0 likes 38 plays 0 Licence Type Creative Commons - Attribution Non Commercial
39:49 UK-APASI in Mathematical Sciences: Jasmina… UK-APASI in Mathematical Sciences: Jasmina Panovska-Griffiths (Lecture 4)	UK-APASI in Mathematical Sciences: Jasmina Panovska-Griffiths (Lecture 4) Subtitles will be added soon. Tuesday 23 February 2021 UK-APASI in Mathematical Sciences Jasmina Panovska-Griffiths - Statistical analysis to identify risks groups of COVID-19 and to explore… symptoms risk testing modelling flow regression analysis study pcr rt infection model wave austria tests yesterday variables characteristics trend care From Liam Holligan on February 23rd, 2021 0 likes 10 plays 0 Publisher Liam Holligan Licence Type All rights reserved Language English Date Created February 23rd, 2021
52:44 Agnieszka Borowska (Glasgow): Gaussian process… Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis	Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Agnieszka Borowska (Glasgow): Gaussian process enhanced semi-automatic approximate Bayesian computation: parameter inference in a stochastic differential equation system for chemotaxis Chemotaxis is… statistics research parameters cell parameter abc regression features estimates model outputs points element point membrane process simulator step cases nodes instance distribution From OLLIE Quinn on February 4th, 2021 0 likes 11 plays 0 Licence Type All rights reserved Language English Date Created January 29th, 2021
18:31 FDS-S2-02-2-5 Maximum likelihood estimation of… FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients	FDS-S2-02-2-5 Maximum likelihood estimation of logistic regression coefficients We introduce the principle of maximum likelihood, and show how to derive the likelihood as a function of the coefficients for logistic regression. We also mention one topical application of logistic… inf2-fds beta log likelihood probability regression term failure function i. success sum naught principle coefficients point respect x. dataset equals thing From David Sterratt on January 20th, 2021 0 likes 125 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
11:17 FDS-S2-02-2-4 The logistic regression classifier FDS-S2-02-2-4 The logistic regression classifier	FDS-S2-02-2-4 The logistic regression classifier We show how to make a logistic regression classifier, and, in the context of ethics, consider how transparent logistic regression can be made to people whose lives it affects. We also compare… inf2-fds regression log boundary probability credit decision classifier neighbours odds neighbour income ratio variables algorithm score customers approval beta linear age From David Sterratt on January 20th, 2021 0 likes 133 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
10:14 FDS-S2-02-2-3 Multiple logistic regression and… FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals	FDS-S2-02-2-3 Multiple logistic regression and confidence and intervals We extend logistic regression to multiple independent variables, and show how we can use the boostrap to estimate confidence intervals for coefficients, and to test hypotheses. inf2-fds odds beta regression hypothesis bootstrap intervals age confidence ratio hat method log credit coefficients coefficient variables fact statistic 95th dataset From David Sterratt on January 20th, 2021 0 likes 147 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 20th, 2021
17:50 FDS-S2-02-2-1 Principle of logistic regression FDS-S2-02-2-1 Principle of logistic regression	FDS-S2-02-2-1 Principle of logistic regression We introduce the principle of logisitc regression, illustrating its application to a credit approval dataset. We also introduce the concepts of odds and odds ratios. inf2-fds regression odds probability beta approval success x. age variable function coefficients variables credit ratio minus curve classification naught linear times From David Sterratt on January 19th, 2021 0 likes 184 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial No Derivatives Language English Date Created January 19th, 2021
13:08 FDS-S2-01-2-7 Bootstrap confidence intervals FDS-S2-01-2-7 Bootstrap confidence intervals	FDS-S2-01-2-7 Bootstrap confidence intervals We introduce the bootstrap method of estimating confidence intervals inf2-fds sample bootstrap distribution confidence interval regression population variance estimate star bootstrapping table replacement loop things estimator idea coefficients coefficient intervals From David Sterratt on January 15th, 2021 0 likes 147 plays 0 Course Code INFR08030 Publisher David Sterratt Licence Type Creative Commons - Attribution Non Commercial Language English Date Created January 15th, 2021
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 7 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 266 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 116 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 10 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 19 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like

Search for tag: "regression"

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