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01:37:00 MAE 4710/5710 Applied Dynamics: Robotics,… MAE 4710/5710 Applied Dynamics: Robotics, Vehicles, Machines and Biomechanics (2020SP)	MAE 4710/5710 Applied Dynamics: Robotics, Vehicles, Machines and Biomechanics (2020SP) Zoom Recording ID: 118144186 UUID: sjGN9AjxQqKo+q2vJaf8mw== Meeting Time: 2020-04-07T17:16:56Z big table schedule thing central difference concepts in physics differential calculus numerical differentiation angular acceleration continuum mechanics 2nd derivative south florida greek letters calculate lambda soft tissue physical quantities super clear hard thing scripting languages center mass 1st thing rotation philosophy of language finite difference matlab tools time steps elementary geometry august august numerical analysis force rigid object unit vector object approximation dynamics cape cod cross-platform software professor king computer screen angular velocity oral communication journalism ethics biomechanics pretty good study group inverse dynamics plotting software statistical terminology functions and mappings unit vector perpendicular data point geometry vectors start making linear velocity names problem solving consistency check kinematics blah blah blah relative position amplifies noise relative motion high tech space bar linear algebra load cell office hours mechanics time points orientation tissues concepts in logic mathematical terminology education cross lambda caption complete acceleration breakout room angle good thing numerical differential equations application layer protocols called arctangent simple things smooth curve special relativity class yesterday excel aeration tabular data linear operators in calculus elementary mathematics monday wednesday friday From Andy Ruina 10 plays
54:48 ORIE Colloquium, 3/18/2020 - Ashia Wilson ORIE Colloquium, 3/18/2020 - Ashia Wilson	ORIE Colloquium, 3/18/2020 - Ashia Wilson “Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness”Machine learning plays a key role in shaping the decisions made by a growing number of institutions.… numerical analysis force incredibly hard machine learning model convergence rate continuous time forms of energy cybernetics 2nd order learning measurement ejc85 systems theory objective function caption complete differential calculus predictive model properly formulate statistics university of colorado at boulder dynamical system approximate proselytisation length fiction approximate cross elevation large consensus systems 2nd order approximation ventilating approximate proselytes scientific method faster rate cross elevation procedure theatre statistical classification optimization algorithms and methods collaboration learning algorithms approximate cross-pollination african-american music good sense nice result dynamic systems statistical theory functional analysis cell phone narratology model selection commerce approximate proselytisation procedure physical geography futurology chemical processes heating application areas machine learning data set gradient descent and air conditioning error functional derivative excel aeration statistical models model selected statistical error statistical deviation and dispersion From E. Cornelius 167 plays

01:37:00

MAE 4710/5710 Applied Dynamics: Robotics,…

MAE 4710/5710 Applied Dynamics: Robotics, Vehicles, Machines and Biomechanics (2020SP)

Zoom Recording ID: 118144186 UUID: sjGN9AjxQqKo+q2vJaf8mw== Meeting Time: 2020-04-07T17:16:56Z

differential calculus

numerical differentiation

philosophy of language

cross-platform software

statistical terminology

functions and mappings

unit vector perpendicular

mathematical terminology

numerical differential equations

application layer protocols

linear operators in calculus

elementary mathematics

monday wednesday friday

From Andy Ruina 10 plays

54:48

ORIE Colloquium, 3/18/2020 - Ashia Wilson

“Variational Perspectives on Machine Learning: Algorithms, Inference, and Fairness”Machine learning plays a key role in shaping the decisions made by a growing number of institutions.…

numerical analysis

force

incredibly hard

machine learning model