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Intro ML III - Empirical Risk Minimization duration 38 minutes 12 seconds Intro ML III - Empirical Risk Minimization Intro ML III - Empirical Risk Minimization	Intro ML III - Empirical Risk Minimization Zoom Recording ID: 8760640863 UUID: 7o5/WzYeQ9qXKZDacW5USg== Meeting Time: 2020-04-26T21:58:22Z concepts in metaphysics loss function conditional distribution mathematical terminology probability distribution measurement abstract art contemporary art caption complete training separate cosmopolitan species randomly sample decision boundary means 3000 people random sample probability distributions full distribution garden features probability theory scientific method sequenced genomes single biggest thing average height statistical terminology sample lots human geography financial risk hypothesis statistical inference expected loss 1st thing training center ontology average loss true distribution data point training smaller training embedded good risk western art machine learning thought mental structures demography training set good estimate expected risk philosophy of science From Bharath Hariharan 312 plays
Intro ML II - (Stochastic) Gradient Descent duration 45 minutes 32 seconds Intro ML II - (Stochastic) Gradient Descent Intro ML II - (Stochastic) Gradient Descent	Intro ML II - (Stochastic) Gradient Descent Zoom Recording ID: 8760640863 UUID: u8EViBtWSpqx0LZw4ZbeLQ== Meeting Time: 2020-04-23T15:22:31Z training data set computer data true gradient point concepts in physics approximation imagination cybernetics learning negative rating caption complete types of functions gradient means web colors randomly sample computer vision negative direction computer science scientific method artificial intelligence function true liberal true label statistical terminology random number optimization problem small step financial risk opposite direction hypothesis waves simple function functions and mappings semantics data point average loss global minimum condensed matter physics estimation theory geometry linear algebra vector calculus machine learning thought entire dataset mental structures linear operators in calculus training set philosophy of science expected risk dot product From Bharath Hariharan 382 plays

Intro ML III - Empirical Risk Minimization

duration 38 minutes 12 seconds

Intro ML III - Empirical Risk Minimization

Zoom Recording ID: 8760640863 UUID: 7o5/WzYeQ9qXKZDacW5USg== Meeting Time: 2020-04-26T21:58:22Z

From Bharath Hariharan 312 plays

Intro ML II - (Stochastic) Gradient Descent

duration 45 minutes 32 seconds

Intro ML II - (Stochastic) Gradient Descent

Zoom Recording ID: 8760640863 UUID: u8EViBtWSpqx0LZw4ZbeLQ== Meeting Time: 2020-04-23T15:22:31Z

From Bharath Hariharan 382 plays