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06:04 Distillation Lecture 2 2020 part 2 Distillation Lecture 2 2020 part 2	Distillation Lecture 2 2020 part 2 Distillation Lecture 2 2020 part 2 column distillation composition point stream separation side entropy feed feeds components streams oxygen amount nitrogen process air bit place energy From John Christy on December 30th, 2020 0 likes 39 plays 0 Course Code CHEE11023 Publisher John Christy Licence Type All rights reserved The University of Edinburgh Language British English Date Created December 30th, 2020
17:06 REF2020: Haowu Duan- Entanglement, partial set of… REF2020: Haowu Duan- Entanglement, partial set of measurements, and diagonality of the density matrix in the parton model	REF2020: Haowu Duan- Entanglement, partial set of measurements, and diagonality of the density matrix in the parton model REF2020: Haowu Duan- Entanglement, partial set of measurements, and diagonality of the density matrix in the parton model higgs centre ref2020 entropy matrix density entanglement particle ignorance operator basis proton function charge glue gluons element cgc paper model prediction calculation operators From Lyndsey Ballantyne on December 15th, 2020 0 likes 4 plays 0 Licence Type All rights reserved The University of Edinburgh Date Created December 9th, 2020
02:38 Bao et al_TIM_Dec 2020 Bao et al_TIM_Dec 2020	Bao et al_TIM_Dec 2020 Y. Bao, R. Zhang, G. Enemali, Z. Cao, B. Zhou, H. McCann, C. Liu, “Relative Entropy Regularised TDLAS Tomography for Robust Temperature Imaging”, IEEE Transactions on Instrumentation… tdlas tomography relative entropy temperature imaging From Chang Liu on December 7th, 2020 3 likes 63 plays 0 Publisher Chang Liu Licence Type All rights reserved The University of Edinburgh Language English Date Created December 7th, 2020
01:03:40 MLP Q&A 1 - Session 2 (Week 5) MLP Q&A 1 - Session 2 (Week 5)	MLP Q&A 1 - Session 2 (Week 5) Machine Learning Practical Q&A 1 - Session 2 (Week 5). machine learning deep learning gradients weights function entropy values input output activation lecture questions softmax From Pavlos Andreadis on October 26th, 2020 1 likes 21 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
11:04 MLP Lecture 04 - Clip 05 - L1&L2… MLP Lecture 04 - Clip 05 - L1&L2 Regularisation	MLP Lecture 04 - Clip 05 - L1&L2 Regularisation Machine Learning Practical (MLP) Lecture 04, Clip 05 / 05. machine learning deep learning weights weight function regularization error gradient term decay sum images space network thing difference pizza rate training entropy classification image From Pavlos Andreadis on October 11th, 2020 1 likes 247 plays 0 Course Code INFR11132 Licence Type All rights reserved Language English
04:22 Three different ways to implement for loops in… Three different ways to implement for loops in Python	Three different ways to implement for loops in Python This video quickly shows you three different ways to implement for loops in Python. python loops values length loop thing function print indices integer a. array objects ways idea neater row entropy ghost enumerates From Mark Naylor on April 20th, 2020 0 likes 22 plays 0 Course Code EASC09054, EASC08025 Licence Type Creative Commons - Attribution
06:34 Association Metrics Association Metrics	Association Metrics Association Metrics - Week 2 predictive analytics micromasters conditional concepts in physics number linear relationship weather entropy caption complete calculate correlation coefficient percent negative moderate correlation observations dependent variable scientific method high correlation explaining statistical terminology straightforward illustrate continuous effects variable difference syria point physical quantities cognition information theory maximum business terms pearson correlation figures calculating frequency From Calum Macphail on April 4th, 2019 0 likes 124 plays 0 Course Code PA1.2x Evaluation of Predictive Modelling Licence Type Creative Commons - Attribution Share A Like Language English
00:46 Summary Summary	Summary Summary iaml decision trees entropy decision tree attribute algorithm forest practice training difference subset measure gain thing summary trees From Nigel Goddard on September 21st, 2016 0 likes 1,960 plays 0 Licence Type Creative Commons - Attribution
03:55 Decision tree regression Decision tree regression	Decision tree regression Decision tree regression iaml decision trees classes subset numbers leaf class entropy decision linear regression eyes tree subsets stock node model average variance prediction examples definition From Nigel Goddard on September 21st, 2016 0 likes 2,534 plays 0 Licence Type Creative Commons - Attribution
03:13 Information Gain Ratio Information Gain Ratio	Information Gain Ratio Information Gain Ratio attribute concepts in physics dataset entropy measure singletons happen caption complete normalize flaws quantify negative presents split tiny subsets concern fractures iaml effects address ratio general semantics definition decision trees subsets values positive generalize problem feature gain lots attributes game tree thing fracturing splitters lot negatives positives From Nigel Goddard on September 21st, 2016 0 likes 2,904 plays 0 Licence Type Creative Commons - Attribution
07:33 Information Gain Information Gain	Information Gain Information Gain subset uncertainty probability decision tree attribute plant morphology splitting entropy examples measurement tells decision theory caption complete rainy day pure subset positive higher weight point negative instance split branch computer science game tells iaml smaller subset statistical terminology number effects elementary arithmetic subtract decision trees accomplishes average larger statistical theory subsets gain negatives positives weight entropies attributes bits game wind sense numbers things root From Nigel Goddard on September 21st, 2016 1 likes 3,157 plays 0 Licence Type Creative Commons - Attribution
05:16 Decision Tree Entropy Decision Tree Entropy	Decision Tree Entropy Decision Tree Entropy subset logarithms interpretation people measurement number entropy purity determine measure totally pure tells caption complete positive proportion negative pretty percentage iaml random element whatsoever statistical terminology completely basically definition decision trees items uncertainty minus pure set effects bits log bit positives numbers element proportions negatives subsets values end base thing From Nigel Goddard on September 21st, 2016 0 likes 3,041 plays 1 Licence Type Creative Commons - Attribution

Search for tag: "entropy"

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