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23:08 Discussion-A-11-24-20 Discussion-A-11-24-20	Discussion-A-11-24-20 decision deviation outlook trees tree dataset attributes values attribute training model steps reduction class regression target complexity parameter variance questions From Dhruvatara Bhogishetty on November 23rd, 2020 0 likes 0 plays 0
01:09:05 WheatCAP Webinar Session Five - Genomic… WheatCAP Webinar Session Five - Genomic Selection Hands-On Session	WheatCAP Webinar Session Five - Genomic Selection Hands-On Session The fifth session of the WheatCAP Webinar Series: Wheat Breeding from Plow-to-Plate is part two of our Genomic Selection discussion, in which WheatCAP student Noah DeWitt from North Carolina State… genomic selection wheat genetics breeding rstudio rmarkdown rrblup bglr graduate student webinar individuals model matrix effects lot values population genotype marker allele yield thing relationship things models heritability markers selection environment distribution From Priscilla Glenn on November 12th, 2020 0 likes 15 plays 0
55:36 WheatCAP Webinar Session Four - Genomic Selection… WheatCAP Webinar Session Four - Genomic Selection Background	WheatCAP Webinar Session Four - Genomic Selection Background The fourth session of the WheatCAP Webinar Series: Wheat Breeding from Plow-to-Plate invites WheatCAP student Noah DeWitt from North Carolina State University to discuss Genomic Selection. wheat graduate student webinars genomic selection genetics breeding matrix selection markers model relationship lines population effects lot times genotype variation models effect marker bit genotypes pedigree individuals phenotypes From Priscilla Glenn on November 6th, 2020 0 likes 16 plays 0
01:18:37 10_EVE100_Lecture10 10_EVE100_Lecture10	10_EVE100_Lecture10 selection fitness population frequency allele genotype genotypes drift individuals a1 frequencies model times a2 values alleles adaptation mutations generation components From Santiago Ramirez on November 5th, 2020 0 likes 274 plays 0
01:04:12 Patrick Flaherty: MAP Clustering under the… Patrick Flaherty: MAP Clustering under the Gaussian Mixture Model via Mixed Integer Programming	Patrick Flaherty: MAP Clustering under the Gaussian Mixture Model via Mixed Integer Programming See https://sites.google.com/view/maddd/ for the details. fall 2020 maddd kind problem things lot constraints science statistics problems courses optimization algorithm integer thing tripods department point cluster parameters model function From Naoki Saito on November 3rd, 2020 0 likes 2 plays 0
01:22:30 Lecture 6. Nov 3. Pollination 2 Lecture 6. Nov 3. Pollination 2	Lecture 6. Nov 3. Pollination 2 pollination syndromes, how to search web of science, connecting to Pulse Secure flowers pollinators flower pollinator paper pollen species plants nectar plant lot pollination papers bees rewards fitness patch topic model energy From Sharon Strauss on November 3rd, 2020 0 likes 30 plays 0
19:04 Discussion 10-30 Discussion 10-30	Discussion 10-30 network validation function layer neuron training model testing accuracy activation neurons values batch layers kind epochs width batches callback input From Dhruvatara Bhogishetty on October 30th, 2020 0 likes 141 plays 0
13:07 Literacy Sponsorship Literacy Sponsorship	Literacy Sponsorship Literacy Sponsor Slideshow Link Literacy Sponsor Padlet literacy sponsors sponsor organization classroom grandmother couple children examples child lot rainbow schools obligation idea writing modelling model sponsorship lists From Mandy Proctor on October 25th, 2020 0 likes 86 plays
57:31 Discussion 10-23 Discussion 10-23	Discussion 10-23 component kind nickname eigenvector agenda eigenvalue end thought lambda step function values quotation dot model matrix covariance vector distribution columns From Dhruvatara Bhogishetty on October 22nd, 2020 0 likes 122 plays 0
01:26:31 WheatCAP Webinar Session Two - Field Tours of… WheatCAP Webinar Session Two - Field Tours of NDSU & KSU	WheatCAP Webinar Session Two - Field Tours of NDSU & KSU The second session of the WheatCAP Webinar Series: Wheat Breeding from Plow-to-Plate invites four graduate students to share virtual field tours of their very own wheat plots, followed by a brief… wheat cereals field tours wheatcap graduate students breeding fields agriculture gene field lot genes population greenhouse disease pathogen kind model bit lab interactions traits plant questions susceptibility spike resistance From Priscilla Glenn on October 22nd, 2020 0 likes 7 plays 0
01:12:23 Cynthia Rudin: The Extremes of Interpretability:… Cynthia Rudin: The Extremes of Interpretability: Sparse Decision Trees and Scoring Systems	Cynthia Rudin: The Extremes of Interpretability: Sparse Decision Trees and Scoring Systems See https://sites.google.com/view/maddd/home for the details. fall 2020 maddd model tree problem solution trees machine problems space models objective score decision lot network point points integer algorithm thing things From Naoki Saito on October 20th, 2020 0 likes 4 plays 0
51:21 FST117_L8_MultipleRegression FST117_L8_MultipleRegression	FST117_L8_MultipleRegression model regression variables variance values equation linear sum sweetness difference flavor squares strawberry lines slope sucrose table From Julien Delarue on October 19th, 2020 0 likes 53 plays 0
48:05 BML - Dr. Amina Schartup: Heat Makes Mad Tuna BML - Dr. Amina Schartup: Heat Makes Mad Tuna	BML - Dr. Amina Schartup: Heat Makes Mad Tuna Bodega Marine Laboratory John and Mary Louise Riley Seminar Series: Dr.Amina Schartup: "Heat Makes Mad Tuna" For more information about the Bodega Marine Laboratory, please visit … bml cmsi coastal and marine sciences institute coastal and marine science mercury methylmercury concentration fish food species sea water lot ice concentrations increase phytoplankton temperature model production surface environment exposure coal From Noah Killeen on October 14th, 2020 0 likes 3 plays 0
55:13 Chao Wang: From telescope to computed tomography… Chao Wang: From telescope to computed tomography via sparse recovery approaches	Chao Wang: From telescope to computed tomography via sparse recovery approaches See https://sites.google.com/view/maddd/home?authuser=0 for the details. fall 2020 maddd problem point model 3d term image source imaging l1 regularization scheme l2 focus scanning space angle degree psf form alpha From Naoki Saito on October 13th, 2020 0 likes 10 plays 0
20:26 ESP 168a: Video 4.4 - Cost Benefit Analysis 1 ESP 168a: Video 4.4 - Cost Benefit Analysis 1	ESP 168a: Video 4.4 - Cost Benefit Analysis 1 Hedonic Regression kind characteristics houses regression variables effect superfund properties beta process quality sites thing model goods risk disease temperature cream ice From Frances Moore on September 20th, 2020 0 likes 127 plays 0
17:03 ESP 168a: Video 2.6 - Models and Modeling ESP 168a: Video 2.6 - Models and Modeling	ESP 168a: Video 2.6 - Models and Modeling Model Uncertainty model kind uncertainty models parameters parameter output lot temperature variables future error root ensemble thing criteria evaluation bar guys values From Frances Moore on September 3rd, 2020 0 likes 99 plays 0