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37:19 Intermediate Microeconomics Lecture 4b - SGPE… Intermediate Microeconomics Lecture 4b - SGPE Summer School 2020	Intermediate Microeconomics Lecture 4b - SGPE Summer School 2020 13:30-16:30, Thusday 6th August 2020 (BST) #sgpe production substitution inputs returns rate function times elasticity capital alpha labor output level degree homogeneity change point scale things mits From Jun Chu on August 6th, 2020 0 likes 1 plays Course Code ECNM11047 Licence Type All rights reserved The University of Edinburgh Date Created August 6th, 2020
01:01:54 Intermediate Microeconomics Lecture 4a - SGPE… Intermediate Microeconomics Lecture 4a - SGPE Summer School 2020	Intermediate Microeconomics Lecture 4a - SGPE Summer School 2020 13:30-16:30, Thursday 6th August 2020 (BST) #sgpe production labor function run inputs flavor output level units capital times firm point amount things indifference guys average combination derivative From Jun Chu on August 6th, 2020 0 likes 4 plays Course Code ECNM11047 Licence Type All rights reserved The University of Edinburgh Date Created August 6th, 2020
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 86 plays 0 Course Code GLHE11086 Licence Type Creative Commons - Attribution Share A Like
11:15 Exploring RStudio Exploring RStudio	Exploring RStudio A demonstration of the basic functionality of RStudio rstats healthyr rstudio tab script menu studio sum output environment cheat files plots console functions packages sheets calculation icon messages error coding From Holly Marissa Tibble on May 27th, 2020 0 likes 79 plays 0 Course Code GLHE11086 Licence Type Creative Commons - Attribution Language English Date Created May 27th, 2020
03:50 Diagnostics and Multiple Regression Diagnostics and Multiple Regression	Diagnostics and Multiple Regression Diagnosing problems and dealing with multiple output values predictive point regression analysis general regression caption complete capture good thing thing predictions systems theory output values 2017 outliers approach method iaml noise multiple linear relationship residual effects problem structure outline vectors michael linear regression thought sensitive situation model From Nigel Goddard on October 1st, 2017 2 likes 1,996 plays 0 Licence Type Creative Commons - Attribution
03:15 A Probilistic View A Probilistic View	A Probilistic View A probabilistic formulation of the linear model square probability regression analysis gaussian probabilistically general predicts regression caption complete annoyance probabilistic systems theory 2017 mosquito function iaml noise linear model theory of probability distributions equivalent statistical terminology component effects output estimate likelihood probability theory structure remember solution linear regression algorithms residuals variance problem From Nigel Goddard on October 1st, 2017 0 likes 2,006 plays 0 Licence Type Creative Commons - Attribution
08:16 The Linear Model The Linear Model	The Linear Model The Linear Model and Examples data set computer data classification predict concepts in physics generalization linear relationship examples caption complete regression problem functions row vector factors regression analysis assumption elementary algebra input 2017 architectural elements iaml product statistical terminology linear model relationship c.p.u. continuous transpose effects performance matrices data point training egyptian artefact types column linear algebra straight linear regression thought vector components output model rowing From Nigel Goddard on October 1st, 2017 1 likes 2,269 plays 0 Licence Type Creative Commons - Attribution
09:04 Learning the Parameters Learning the Parameters	Learning the Parameters Learning the Parameters classification point regression analysis philosophical terminology product individual respect caption complete differential calculus probability gradient computing question experiment iaml log likelihood power statistical terminology independent understand effects likelihood structure individualism data point numerical method transmission differential solution linear regression political philosophy optimization logistic regression analytical output From Nigel Goddard on September 8th, 2016 0 likes 2,245 plays 0 Licence Type Creative Commons - Attribution
01:19 Least Squares Classification Least Squares Classification	Least Squares Classification Least Squares Classification burst predict produced magenta regression aggression caption complete serum regression analysis points iaml spell linear loose drives reason produce complicated effects sound great outlaw linear regression optimization logistic regression action output problem logistic procedure From Nigel Goddard on September 8th, 2016 0 likes 2,362 plays 0 Licence Type Creative Commons - Attribution

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