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57:00 ASR Lecture 10 (part 2); Lecture 11 ASR Lecture 10 (part 2); Lecture 11	ASR Lecture 10 (part 2); Lecture 11 ASR Lecture 10 (part 2): Neural network models (1); ASR Lecture 11: Neural network models (2) speech recognition network networks probability bit speech recognition features output layer error weights outputs label delta things function hmm term lecture layers From Peter Bell on March 25th, 2021 0 likes 4 plays 0 Licence Type Creative Commons - Attribution Non Commercial Date Created February 22nd, 2021
57:46 MLP Interviews - Leonie Bossemeyer MLP Interviews - Leonie Bossemeyer	MLP Interviews - Leonie Bossemeyer Machine Learning Practical interviews - Winter 2020 - Session 2/4. Leonie Bossmeyer is an MSc graduate in Data Science at the University of Edinburgh, and is currently an MSc student in Quantitative… machine learning deep learning copulas density estimation embeddings gan generative adversarial networks normalising flows images image things distribution kind model thing lot bit buildings week damage question variables idea dataset questions flow task label From Pavlos Andreadis on December 7th, 2020 1 likes 35 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
05:12 CL - 14e - DFA (II) CL - 14e - DFA (II)	CL - 14e - DFA (II) We look at the representation of DFA in Haskell (using lists to represent the sets of the formal definition).In this video the code isDFA is defining what counts as a DFA when we use the black-hole… inf1a introduction to computation informatics 1 computation and logic hole transitions transition start dfa diagram arrow things q1 fsm convention string typing q. function q0 label beginning trace place From Haoran Peng on November 20th, 2020 0 likes 163 plays 0 Course Code INFR08025 Licence Type All rights reserved The University of Edinburgh Language English
11:13 ML7: Logistic Classification ML7: Logistic Classification	ML7: Logistic Classification Here, we introduce a logistic classifier and cover how it differs from a linear classifier. Then, we show how its parameters can be learnt by minimising the cross-entropy loss. Finally, we visualise… classifier loss class function probability points point parameters label outputs i. training linear boundary decision side contribution times minus thing From Elliot Crowley on November 6th, 2020 0 likes 10 plays 0
10:51 ML6: Linear Classification ML6: Linear Classification	ML6: Linear Classification In this video, we are introduced to linear classifiers. These have parameters which weight input features, and output a scalar that is used to assign a point to a class. We learn that these… parameters classifier function loss output vector point error linear points respect bias parameter label hair toys times weight gradient minus From Elliot Crowley on November 5th, 2020 0 likes 9 plays 0
17:00 IDS - Week 04 - 06 - AE: Hotels + data types IDS - Week 04 - 06 - AE: Hotels + data types	IDS - Week 04 - 06 - AE: Hotels + data types Application exercise walkthrough: Hotels + data types rstats data science character dollar function axis month label package months factor integer bit labels scales dataframe vector plot variable levels arrival visualization From Mine Cetinkaya-Rundel on October 14th, 2020 0 likes 12 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
30:57 IDS - Week 03 - 07 - AE: Hotels + Data wrangling IDS - Week 03 - 07 - AE: Hotels + Data wrangling	IDS - Week 03 - 07 - AE: Hotels + Data wrangling Working through AE 04: Hotels + Data wrangling data science rstats bookings document adults exercise children adr chunk output function room babies error things variables resort baby arrival result child label From Mine Cetinkaya-Rundel on October 8th, 2020 0 likes 23 plays 0 Course Code MATH08077 Licence Type Creative Commons - Attribution Non Commercial Share A Like
04:08 Methods for Analysing Clinical Text Methods for Analysing Clinical Text	Methods for Analysing Clinical Text Methods for Analysing Clinical Text hds language processing machine sequence learning model vector techniques methods patient markov treatment medicine precision sense speech sequences labels label text From Dimitrios Doudesis on June 8th, 2020 0 likes 70 plays 0 Course Code GLHE11086 Licence Type Creative Commons - Attribution
01:29 Economic Democracy Block3 v4 Economic Democracy Block3 v4	Economic Democracy Block3 v4 Welcome to Economic Democracy: The Cooperative Alternative, our MOOC about worker-owned and worker-controlled firms. We often hear that political democracy is the best available form of… survey secondly exercise economy general course including carry firstly economic democracy labour-managed provided mooc union workers label start noting capital import firms caption complete worth centrally firm couple exercised labour-managed. effects ownership socialist points firstlt soviet From Nuria Fraile-Diaz on November 9th, 2016 0 likes 6 plays 0 Licence Type All rights reserved The University of Edinburgh Language english
02:47 Neural Networks Neural Networks	Neural Networks Neural Networks iaml units input weights weight output vector class thing features label unit things inputs reason training probability end neurons layer neuron From Nigel Goddard on September 25th, 2016 1 likes 1,384 plays 0 Licence Type Creative Commons - Attribution
09:11 K-means for image representation K-means for image representation	K-means for image representation K-means for image representation iaml k-means patches image patch vector feature labels vectors lots representation cluster grass images color attribute bunch label histogram problem representations occurrences From Nigel Goddard on September 25th, 2016 1 likes 1,710 plays 0 Licence Type Creative Commons - Attribution
03:29 Number of nearest neighbors to use Number of nearest neighbors to use	Number of nearest neighbors to use Number of nearest neighbors to use iaml nearest neighbours validation training class dataset values performance knn label middle classifier boundaries decision classifications algorithm procedure examples moment error setting equals From Nigel Goddard on September 21st, 2016 1 likes 1,903 plays 0 Licence Type Creative Commons - Attribution No Derivatives
01:54 Nearest-neighbor classification algorithm Nearest-neighbor classification algorithm	Nearest-neighbor classification algorithm Nearest-neighbor classification algorithm iaml nearest neighbours training algorithm phase point label examples testing labels neighbors x. class points distances votes vote classes mold exec instances i. From Nigel Goddard on September 21st, 2016 1 likes 1,817 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
04:06 Bayes' Rule Bayes' Rule	Bayes' Rule Bayes' Rule iaml maths probability distribution point x. rule kind posterior label things denominator sum variable times sort minute distributions points concept learning machine From Nigel Goddard on September 8th, 2016 1 likes 1,783 plays 0 Licence Type Creative Commons - Attribution

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