Patrick van der Smagt

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Munich machine learning videos. See https://argmax.ai

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12 Inference in Latent Variable Models, pt 34 The Variational Auto

12 Inference in Latent Variable Models, pt 34 The Variational Auto

Patrick van der Smagt

338 views·6 years ago

12 Inference in Latent Variable Models, pt 44 Results and Summary

12 Inference in Latent Variable Models, pt 44 Results and Summary

Patrick van der Smagt

213 views·6 years ago

12 Inference in Latent Variable Models, pt 24 Expectation

12 Inference in Latent Variable Models, pt 24 Expectation

Patrick van der Smagt

332 views·6 years ago

12 Inference in Latent Variable Models, pt 14 Latent Variable Models and Gaussian Mixtures

12 Inference in Latent Variable Models, pt 14 Latent Variable Models and Gaussian Mixtures

Patrick van der Smagt

820 views·6 years ago

11 Unsupervised Learning, pt 22 Simple Models

11 Unsupervised Learning, pt 22 Simple Models

Patrick van der Smagt

113 views·6 years ago

11 Unsupervised Learning, pt 12 Introduction

11 Unsupervised Learning, pt 12 Introduction

Patrick van der Smagt

147 views·6 years ago

10 Gaussian Processes, pt 33 Notes and Summary

10 Gaussian Processes, pt 33 Notes and Summary

Patrick van der Smagt

2.6K views·6 years ago

10 Gaussian Processes, pt 23 Working with GPs

10 Gaussian Processes, pt 23 Working with GPs

Patrick van der Smagt

5.7K views·6 years ago

09 Neural Networks, pt 44 Optimisation

09 Neural Networks, pt 44 Optimisation

Patrick van der Smagt

86 views·6 years ago

10 Gaussian Processes, pt 13 Basics

10 Gaussian Processes, pt 13 Basics

Patrick van der Smagt

17.1K views·6 years ago

09 Neural Networks, pt 24 Practical Considerations

09 Neural Networks, pt 24 Practical Considerations

Patrick van der Smagt

115 views·6 years ago

09 Neural Networks, pt 34 Advanced Models

09 Neural Networks, pt 34 Advanced Models

Patrick van der Smagt

83 views·6 years ago

09 Neural Networks, pt 14 The Basics

09 Neural Networks, pt 14 The Basics

Patrick van der Smagt

186 views·6 years ago

08 Linear Classification, pt 33 Generative Models

08 Linear Classification, pt 33 Generative Models

Patrick van der Smagt

318 views·6 years ago

08 Linear Classification, pt 23 Linear Discriminant Models

08 Linear Classification, pt 23 Linear Discriminant Models

Patrick van der Smagt

422 views·6 years ago

08 Linear Classification, pt 13 Linear Discriminant Functions

08 Linear Classification, pt 13 Linear Discriminant Functions

Patrick van der Smagt

2.4K views·6 years ago

07 Kernels, pt 44 An Example & Summary

07 Kernels, pt 44 An Example & Summary

Patrick van der Smagt

335 views·6 years ago

07 Kernels, pt 24 The Dual Form

07 Kernels, pt 24 The Dual Form

Patrick van der Smagt

694 views·6 years ago

07 Kernels, pt 34 Kernels Properties

07 Kernels, pt 34 Kernels Properties

Patrick van der Smagt

1.0K views·6 years ago

07 Kernels, pt 14 Why Do We Need Kernels

07 Kernels, pt 14 Why Do We Need Kernels

Patrick van der Smagt

808 views·6 years ago

06 Linear Regression, pt 13 The Basics

06 Linear Regression, pt 13 The Basics

Patrick van der Smagt

392 views·6 years ago

06 Linear Regression, pt 33 Online Formulations

06 Linear Regression, pt 33 Online Formulations

Patrick van der Smagt

131 views·6 years ago

06 Linear Regression, pt 23 Bayesian Regression

06 Linear Regression, pt 23 Bayesian Regression

Patrick van der Smagt

361 views·6 years ago

05 Multivariate Normals, pt 33 Conditioning Gaussians

05 Multivariate Normals, pt 33 Conditioning Gaussians

Patrick van der Smagt

138 views·6 years ago

05 Multivariate Normals, pt 23 Working with Gaussians

05 Multivariate Normals, pt 23 Working with Gaussians

Patrick van der Smagt

192 views·6 years ago

05 Multivariate Normals, pt 13 Basics

05 Multivariate Normals, pt 13 Basics

Patrick van der Smagt

498 views·6 years ago

04 Parameter Inference, pt 55 Advanced Example and Summary

04 Parameter Inference, pt 55 Advanced Example and Summary

Patrick van der Smagt

141 views·6 years ago

04 Parameter Inference, pt 45 Fully Bayesian Analysis

04 Parameter Inference, pt 45 Fully Bayesian Analysis

Patrick van der Smagt

191 views·6 years ago

04 Parameter Inference, pt 35 Maximum A Posteriori Estimation

04 Parameter Inference, pt 35 Maximum A Posteriori Estimation

Patrick van der Smagt

230 views·6 years ago

04 Parameter Inference, pt 15 Maximum Likelihood Estimation

04 Parameter Inference, pt 15 Maximum Likelihood Estimation

Patrick van der Smagt

520 views·6 years ago

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