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Computational modeling and AI/ML for… duration 1 hour 15 minutes Computational modeling and AI/ML for… Computational modeling and AI/ML for semiconductor design & understanding of materials for future electronics (MariaChan)	Computational modeling and AI/ML for semiconductor design & understanding of materials for future electronics (MariaChan) structure model lot materials models material energy properties defect approach things structures characterization image cell calculations space simulations levels training From James Overhiser 11 plays
Sharada Gopal duration 3 minutes 15 seconds Sharada Gopal Sharada Gopal	Sharada Gopal worms lifespan mother organisms child sperm humans genes organism model body resource factories phd interest investment tomorrow mechanism aim From Sarah Day 32 plays
Introduction to Natural Language Processing (NLP)… duration 55 minutes 10 seconds Introduction to Natural Language Processing (NLP)… Introduction to Natural Language Processing (NLP) in R	Introduction to Natural Language Processing (NLP) in R Github Page Please fill out the evaluation form here. Schedule a consultation View CCSS Workshops Request access to CCSS Cloud Computing Resources, Gain access to our statistical software for… words text lot topics topic document package word analysis model documents bit things processing language sentiment term packages thing function From Jacob Grippin 27 plays Searchable Yes Searchable On Cornell Web Search
Feature Selection in R.mp4 duration 1 hour 17 minutes Feature Selection in R.mp4 Feature Selection in R.mp4	Feature Selection in R.mp4 Github page: https://github.com/ccss-rs/Feature-Selection-R Fill out evaluation Schedule a consultation View CCSS Workshops Request access to CCSS Cloud Computing Resources, Gain access to our… variables model features selection bit lot models methods dataset variable feature things correlation regression criteria thing lambda workshop reduction questions From Jacob Grippin 7 plays
MEM Lunch and Learn: Economic Choice Models to… duration 1 hour 3 minutes MEM Lunch and Learn: Economic Choice Models to… MEM Lunch and Learn: Economic Choice Models to Learn Customer Preferences (R. Daziano)	MEM Lunch and Learn: Economic Choice Models to Learn Customer Preferences (R. Daziano) This talk will overview supervised statistical learning of customer preferences through choice experiments and discrete choice models. Empirical applications of inference on economic value of this… energy efficiency economic choices engineering management sustainability models thing electricity market transportation cars things decision behavior model preferences economics choice demand learning energy alternatives battery computer From Alexis Vargas 10 plays Content Categories Presentations Creation Date February 12, 2024 Creator 1 First Name Ricardo Creator 1 Last Name Daziano Creator 1 Role Faculty or Staff Member Language English Rights Statement The content is provided only for educational purposes, it is not intended to render any legal, business, or financial advice to the viewer or to the public. The views and opinions expressed are those of the speaker and do not necessarily represent the official position or policy of Cornell University or the M.Eng. in Engineering Management (MEM) Program. Although we make strong efforts to make sure our information is accurate, MEM cannot guarantee all the information is error-free. You may not copy, reproduce, distribute, publish, modify, create derivative works, transmit, or in any way exploit this content. Searchable Yes Searchable On Cornell Web Search Landing Page https://www.engmanagement.cornell.edu/em
Week 3 lecture duration 1 hour 11 minutes Week 3 lecture Week 3 lecture	Week 3 lecture customer customers innovation market model lot problem performance innovations costs strategy sales types models bit segments chart week end From Saurab Prabhakar 7 plays
Publication Ready Tables in Stata.mp4 duration 50 minutes 15 seconds Publication Ready Tables in Stata.mp4 Publication Ready Tables in Stata.mp4	Publication Ready Tables in Stata.mp4 Link to Github page. File Stata\Stata_Code_Fall2023-10-16-2023.do for code from session. Double click on .do file to open Stata. Then run code. … folder packages directory path tables word things table computer thing process location command document model dataset desktop bit package regression From Jacob Grippin 31 plays Searchable Yes Searchable On Cornell Web Search
Machine Learning. Unsupervised Learning in… duration 1 hour 27 minutes Machine Learning. Unsupervised Learning in… Machine Learning. Unsupervised Learning in Python.mp4	Machine Learning. Unsupervised Learning in Python.mp4 Link to github page https://github.com/ccss-rs/Fall23-ML-Series/tree/master Fill out evaluation form here. points cluster sense features clusters point learning clustering question bit distance cars variables dimensions feature intuition idea groups model machine From Jacob Grippin 12 plays Searchable Yes Searchable On Cornell Web Search
Machine Learning. Supervised Learning in… duration 1 hour 21 minutes Machine Learning. Supervised Learning in… Machine Learning. Supervised Learning in Python.mp4	Machine Learning. Supervised Learning in Python.mp4 Link to github page https://github.com/ccss-rs/Fall23-ML-Series/tree/master Fill out evaluation form here. model decision learning question models testing thing training regression accuracy sense classification variables tree machine test rate learn person From Jacob Grippin 8 plays Searchable Yes Searchable On Cornell Web Search
Publication Ready Tables Stata duration 50 minutes 15 seconds Publication Ready Tables Stata Publication Ready Tables Stata	Publication Ready Tables Stata folder packages path directory tables word things regression table computer thing process package command bit location document question desktop model From Diana Flores Valdivia 14 plays
Session 4 of ACM Symposium on Computational… duration 1 hour 39 minutes Session 4 of ACM Symposium on Computational… Session 4 of ACM Symposium on Computational Fabrication	Session 4 of ACM Symposium on Computational Fabrication Session Chair: Amritansh Kwatra Keynote by Nobuyuki Umetani (University of Tokyo) Keynote by Ilya Baran(Onshape) Demos Lightning Round digital fabrication computational fabrication symposium acm scf computer science information science aap civil engineering architecture human centered design human computer interaction thijs roumen cornell tech matter of techlab shape model lot machine object things feature airplane simulation computer problem script tool demo features input physics engineers cad student From Thijs Roumen 26 plays Content Categories Other Creation Date October 09, 2023 Creator 1 First Name Thijs Creator 1 Last Name Roumen Creator 1 Role Host Creator 1 NetID tjr92 Language English Searchable Yes Landing Page https://scf.acm.org
2023 REU Jayson Johnson duration 15 minutes 52 seconds 2023 REU Jayson Johnson 2023 REU Jayson Johnson	2023 REU Jayson Johnson superconductors model temperature materials graph temperatures lot energy material machine superconductor reaction formation predictions pressure experiments models techniques copper summer From James Overhiser 25 plays
2023 REU Gannon Murray duration 10 minutes 47 seconds 2023 REU Gannon Murray 2023 REU Gannon Murray	2023 REU Gannon Murray materials model material process flux crystals history database heating laboratory nodes sample procedure experimentalists metadata medium growth structure histories summer From James Overhiser 14 plays
2023 REU Nathan Song duration 13 minutes 8 seconds 2023 REU Nathan Song 2023 REU Nathan Song	2023 REU Nathan Song oxide temperature material materials formation oxides tantalum energy amount metric layer cubit superconductors composition melting atoms problem bit model amounts From James Overhiser 16 plays
McQueenMLAndFrontiers duration 39 minutes 14 seconds McQueenMLAndFrontiers McQueenMLAndFrontiers	McQueenMLAndFrontiers materials structure things superconductors problem predictions 1950s structures methods lot model paper crystal question lots thing polar yesterday computing protein From James Overhiser 4 plays
Group4 duration 21 minutes 2 seconds Group4 Group4	Group4 pressure model temperature delta thing oxygen feature models selection rod machine reaction material zone sample oxide kelvin materials nickel potential From James Overhiser 10 plays