Jason Fleischer

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143 videos

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Some kind of professor @ UCSD Machine learning, AI, statistics, computational neuroscience, genomics of aging, circadian rhythms

Latest Videos

Using conda to manage your python environment

Using conda to manage your python environment

Jason Fleischer

228 views·4 months ago

Using docker to run a UCSD DataHub container

Using docker to run a UCSD DataHub container

Jason Fleischer

345 views·7 months ago

SSH keys for GitHub access

SSH keys for GitHub access

Jason Fleischer

314 views·7 months ago

Basic gitGitHub operations

Basic gitGitHub operations

Jason Fleischer

236 views·7 months ago

L06 K-means

L06 K-means

Jason Fleischer

142 views·2 years ago

L07 Gaussian Mixture Models

L07 Gaussian Mixture Models

Jason Fleischer

240 views·2 years ago

pre L08 Full EM formulation

pre L08 Full EM formulation

Jason Fleischer

242 views·2 years ago

pre L06 Metrics, Voronoi, VQ

pre L06 Metrics, Voronoi, VQ

Jason Fleischer

261 views·2 years ago

L05 Estimation 2

L05 Estimation 2

Jason Fleischer

230 views·2 years ago

L04 Distributions

L04 Distributions

Jason Fleischer

432 views·2 years ago

pre L05 Linear algebra and multivariate Gaussians

pre L05 Linear algebra and multivariate Gaussians

Jason Fleischer

441 views·2 years ago

pre L04 - Distributions

pre L04 - Distributions

Jason Fleischer

413 views·2 years ago

L03 - Estimation

L03 - Estimation

Jason Fleischer

283 views·2 years ago

L02 Probability

L02 Probability

Jason Fleischer

175 views·2 years ago

pre L03 Estimation

pre L03 Estimation

Jason Fleischer

430 views·2 years ago

pre L02 Probability

pre L02 Probability

Jason Fleischer

345 views·2 years ago

About me

About me

Jason Fleischer

380 views·2 years ago

Pre L22 - Neuroscience (and other things) leading to Artificial Neural Networks

Pre L22 - Neuroscience (and other things) leading to Artificial Neural Networks

Jason Fleischer

216 views·2 years ago

Lecture 20 - Boosting ensembles

Lecture 20 - Boosting ensembles

Jason Fleischer

166 views·2 years ago

Lecture 21 - sklearn notebooks SVM and Ensemble

Lecture 21 - sklearn notebooks SVM and Ensemble

Jason Fleischer

93 views·2 years ago

Lecture 19 Bagging ensembles

Lecture 19 Bagging ensembles

Jason Fleischer

182 views·2 years ago

Pre L19 - Multiple math topics kernels, ensembles, bias variance tradeoff,

Pre L19 - Multiple math topics kernels, ensembles, bias variance tradeoff,

Jason Fleischer

362 views·2 years ago

Lecture 18 - Kernel Support Vector Machines

Lecture 18 - Kernel Support Vector Machines

Jason Fleischer

124 views·2 years ago

Lecture 17 - Linear Support Vector Machines

Lecture 17 - Linear Support Vector Machines

Jason Fleischer

150 views·2 years ago

pre L17 - SVM maximizing margins

pre L17 - SVM maximizing margins

Jason Fleischer

320 views·3 years ago

Lecture 16 - algorithm selection, solver implementation

Lecture 16 - algorithm selection, solver implementation

Jason Fleischer

284 views·3 years ago

Lecture 14 - a bit of model selection, a bit of exam review

Lecture 14 - a bit of model selection, a bit of exam review

Jason Fleischer

96 views·3 years ago

Lecture 12b - Cross validation

Lecture 12b - Cross validation

Jason Fleischer

427 views·3 years ago

Lecture 12 - (more metrics)

Lecture 12 - (more metrics)

Jason Fleischer

177 views·3 years ago

Pre 12 - Resampling

Pre 12 - Resampling

Jason Fleischer

349 views·3 years ago

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