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Apps on Demand(AoD) Tips and tricks duration 4 minutes 56 seconds Apps on Demand(AoD) Tips and tricks Apps on Demand(AoD) Tips and tricks	Apps on Demand(AoD) Tips and tricks Sign in: https://login.canvas.cornell.edu/ Navigation Bar Items: https://it.cornell.edu/appsondemand/navigation-bar-icons-apps-demand?utm_source=main session button demand files window apps screen google windows applications squares toolbar resource drive resolution storage stata application tricks tips From Jacob Grippin 5 plays
Apps on Demand(AoD) download and open data(Stata) duration 4 minutes 23 seconds Apps on Demand(AoD) download and open data(Stata) Apps on Demand(AoD) download and open data(Stata)	Apps on Demand(AoD) download and open data(Stata) Sign in: https://login.canvas.cornell.edu/ Sample dataset (airline): http://www.principlesofeconometrics.com/stata.htm drive google demand downloads squares dataset apps files folder session datasets stata location account pc explorer browser setup menu applications From Jacob Grippin 6 plays
Lecture 11/2/21: Loss functions duration 1 hour 51 minutes Lecture 11/2/21: Loss functions Lecture 11/2/21: Loss functions	Lecture 11/2/21: Loss functions Zoom Recording ID: 94347618999 UUID: vWQG3ObBTcWaFwtVIF8PgQ== Meeting Time: 2021-11-02T13:05:02Z loss regression outliers points function error times distance squares prediction point problem linear alpha errors quantile model sum functions questions From Madeleine Udell 178 plays
Lecture 10/28/21: ControlBurn demo +… duration 1 hour 27 minutes Lecture 10/28/21: ControlBurn demo +… Lecture 10/28/21: ControlBurn demo + Regularization	Lecture 10/28/21: ControlBurn demo + Regularization Zoom Recording ID: 94347618999 UUID: O8jrxuxKSBqUUUCSd5BWBg== Meeting Time: 2021-10-28T13:32:27Z model regression ridge thing regularization predictions lasso features problem alice parameter lot trees values squares kind demo class bit max From Madeleine Udell 81 plays
Lecture 10/7: quadratic regularization duration 1 hour 37 minutes Lecture 10/7: quadratic regularization Lecture 10/7: quadratic regularization	Lecture 10/7: quadratic regularization Zoom Recording ID: 94347618999 UUID: 7YUf4lI8Raqwy7q7xnfsGQ== Meeting Time: 2021-10-07T13:29:35Z times svd matrix sigma solution rank thing vector hm space squares problem transpose lambda entries approximation question mm direction inverse From Madeleine Udell 153 plays
Lecture 9/16: Feature engineering duration 1 hour 25 minutes Lecture 9/16: Feature engineering Lecture 9/16: Feature engineering	Lecture 9/16: Feature engineering Zoom Recording ID: 94347618999 UUID: PFUsN12HSx6I3dkD0PuRBg== Meeting Time: 2021-09-16T13:28:20Z model linear function thing gradient training squares problem class points models problems descent feature error fit things fact test matrix From Madeleine Udell 173 plays
Lecture 9/14: SGD and QR duration 1 hour 42 minutes Lecture 9/14: SGD and QR Lecture 9/14: SGD and QR	Lecture 9/14: SGD and QR Zoom Recording ID: 94347618999 UUID: YzoQsWEUReG7Sm8YrzFpoQ== Meeting Time: 2021-09-14T13:31:31Z gradient matrix question chunk problem times descent thing dataset class size function inverse iteration validation examples questions point method squares From Madeleine Udell 182 plays
CAM Colloquium - Mauricio Velasco (5/7/21) duration 1 hour 11 minutes CAM Colloquium - Mauricio Velasco (5/7/21) CAM Colloquium - Mauricio Velasco (5/7/21)	CAM Colloquium - Mauricio Velasco (5/7/21) Zoom Recording ID: 95217932087 UUID: ihiEbS7jTPGpQl7Z8wMPeA== Meeting Time: 2021-05-07T19:19:51Z problem optimization varieties variety squares question degree things sigma sum space polynomials point polynomial fact lambda graph talk theorem convex From Erika Fowler-Decatur 11 plays
Lesson 26.5 While-Loops vs For-Loops duration 6 minutes 5 seconds Lesson 26.5 While-Loops vs For-Loops Lesson 26.5 While-Loops vs For-Loops	Lesson 26.5 While-Loops vs For-Loops We can always replace for-loops with while-loops, but should we? In this video we talk about the trade-offs of the two control structures and why it might be better to use over the other. loop fibonacci loops sequence squares variable function range thing bugs module n. things python iterator specification accumulator elements calculation recursion From Hannah Lee 79 plays
Lesson 26.2 While-Loop Traces duration 8 minutes 46 seconds Lesson 26.2 While-Loop Traces Lesson 26.2 While-Loop Traces	Lesson 26.2 While-Loop Traces While-loops can do everything that a for-loop can (and more) but they are much harder to use. That is why, in this video, we talk about how to debug a while-loop before we talk about how to write… loop loops accumulator function things tutor squares trace python sum flow x. variable body numbers lot control debugging statements print From Hannah Lee 86 plays
Electron Tomography - Theory duration 1 hour 23 minutes Electron Tomography - Theory Electron Tomography - Theory	Electron Tomography - Theory 2017 PARADIM SUMMER SCHOOL Tomography Theory Ercius cartesian space dimensional space dimensional thing scale tomography dimensional reconstruction projection requirement solutions extremely high resolution original image physical science maximum tilting tilt series long time electron microscopy electron tomography compressed sensing inverse nanometers scientific techniques dimensional structure materials science equal angle signal processing concepts in physics photography low dose 1st thing point defect higher frequency single projection diffraction pattern pretty good microscopy needle sample big difference free transform original object spatial frequency vision carbon atom real space adam counting reciprocal space emerging technologies cat f.f.t. dimensional image perfect projections original projection atomic physics projected density experimental projections nano particles stem medical imaging high resolution carbon good reconstruction original projection direction unique object aberration corrected atomic scale beam electrons experimental data tilt axis original intensity nanometer depth pseudo polar microscopes reconstruction technique projection operation low frequency radio spectrum equally slope tomography quantum mechanics kinematics concentric squares cat scan higher dimensional quantum dot analytic geometry iterative loop entire image equal distance iterative algorithm classical mechanics digital photography called equally slope linear algebra grand challenge single particle simpler interpellation dimensional object geometry limitation high tilts nano scale phoria transform english alternative rock groups resolution tomography reconstruction packages building block caption complete digital geometry computer graphics free space reconstruction algorithm improve reconstructions high frequency atomic resolution projection image shell particle cohen resolution dimensional picture sine wave crystallographic defects t.m. advanced algorithms iterative process missing wedge information theory continuous function material science tomography experiment broadcasting mass sample things elementary mathematics chemistry electron microscope nanomaterials From James Overhiser 228 plays
27 - Curve fitting and the inner product Session… duration 47 minutes 19 seconds 27 - Curve fitting and the inner product Session… 27 - Curve fitting and the inner product Session 27	27 - Curve fitting and the inner product Session 27 2009-03-27 09:08:51+00 analytic geometry research methods c.. videonote latin alphabet problem solving engineering solve projection numerical analysis numeral systems arithmetic concepts in physics number property communication abstract algebra colloidal chemistry formal sciences least squares statistics philosophical terminology audio engineering x.. data elementary mathematics functions and mappings elementary special functions linear algebra y.. vector mathematical notation numerical linear algebra matrices equal equation plotting software matrix sound thing measurement caption complete b.. problem statistical terminology product algebra square mathematical sciences polynomials equations solution ontology geometry logic meaning (philosophy of language) data point data analysis software function vowel letters data management topology column perpendicular educational psychology point elementary algebra operations research length question semantics mathematical analysis transpose physics software mathematical optimization spring 2009 regression analysis linear operators in calculus trigonometry group theory From mjp337@cornell.edu 63 plays
ORIE Colloquium, 2015-01-26 - Damek Davis: The… duration 1 hour 1 minute ORIE Colloquium, 2015-01-26 - Damek Davis: The… ORIE Colloquium, 2015-01-26 - Damek Davis: The Design and Analysis of Large-scale Operator-splitting Schemes	ORIE Colloquium, 2015-01-26 - Damek Davis: The Design and Analysis of Large-scale Operator-splitting Schemes Continuous optimization is a key component of modern data analysis. Recently, the demands of extremely large-scale applications have shifted the focus from high cost, high accuracy methods to low… mediasite numerical analysis point least squares basic concepts in set theory on premise billboard adult top 40 number-one singles thing image processing convex analysis optimization convergence method constraint functions and mappings caption complete algorithm intelligence function objective large scale problems neuropsychological assessment processor condition result windows software eng research distributed computing special case theoretical computer science mathematical logic performing arts property problem educational psychology elementary mathematics military ranks fertility aging war approximation billboard mainstream top 40 (pop songs) number-one singles physiology problem solving generalization operator spring 2015 research methods application traumatology mathematical disambiguation linear algebra video human spaceflight population film song recordings produced by buddy cannon regression analysis fixed point types of functions free software projection signal processing data analysis demography simple splitting abstract algebra artificial intelligence From E. Cornelius 93 plays