[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/001. Think bayesian & Statistics review.mp4 |
23.7 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/001. Think bayesian & Statistics review.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/002. Bayesian approach to statistics.mp4 |
17.1 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/002. Bayesian approach to statistics.srt |
7 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/003. How to define a model.mp4 |
10 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/003. How to define a model.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/004. Example thief & alarm.mp4 |
59.8 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/004. Example thief & alarm.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/005. Linear regression.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/001.Introduction to Bayesian methods/005. Linear regression.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/002.Conjugate priors/006. Analytical inference.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/002.Conjugate priors/006. Analytical inference.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/002.Conjugate priors/007. Conjugate distributions.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/002.Conjugate priors/007. Conjugate distributions.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/002.Conjugate priors/008. Example Normal, precision.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/002.Conjugate priors/008. Example Normal, precision.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/002.Conjugate priors/009. Example Bernoulli.mp4 |
14 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/002.Conjugate priors/009. Example Bernoulli.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/010. Latent Variable Models.mp4 |
36.8 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/010. Latent Variable Models.srt |
15 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/011. Probabilistic clustering.mp4 |
21.7 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/011. Probabilistic clustering.srt |
8 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/012. Gaussian Mixture Model.mp4 |
29.2 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/012. Gaussian Mixture Model.srt |
13 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/013. Training GMM.mp4 |
31.6 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/013. Training GMM.srt |
14 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/014. Example of GMM training.mp4 |
31.3 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/003.Latent Variable Models/014. Example of GMM training.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/015. Jensen's inequality & Kullback Leibler divergence.mp4 |
28.4 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/015. Jensen's inequality & Kullback Leibler divergence.srt |
12 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/016. Expectation-Maximization algorithm.mp4 |
32 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/016. Expectation-Maximization algorithm.srt |
13 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/017. E-step details.mp4 |
66.2 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/017. E-step details.srt |
13 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/018. M-step details.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/018. M-step details.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/019. Example EM for discrete mixture, E-step.mp4 |
56.4 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/019. Example EM for discrete mixture, E-step.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/020. Example EM for discrete mixture, M-step.mp4 |
65.5 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/020. Example EM for discrete mixture, M-step.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/021. Summary of Expectation Maximization.mp4 |
20.3 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/004.Expectation Maximization algorithm/021. Summary of Expectation Maximization.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/022. General EM for GMM.mp4 |
62.5 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/022. General EM for GMM.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/023. K-means from probabilistic perspective.mp4 |
28.5 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/023. K-means from probabilistic perspective.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/024. K-means, M-step.mp4 |
31 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/024. K-means, M-step.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/025. Probabilistic PCA.mp4 |
39 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/025. Probabilistic PCA.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/026. EM for Probabilistic PCA.mp4 |
21.8 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/005.Applications and examples/026. EM for Probabilistic PCA.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/006.Variational inference/027. Why approximate inference.mp4 |
15.7 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/006.Variational inference/027. Why approximate inference.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/006.Variational inference/028. Mean field approximation.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/006.Variational inference/028. Mean field approximation.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/006.Variational inference/029. Example Ising model.mp4 |
68.2 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/006.Variational inference/029. Example Ising model.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/006.Variational inference/030. Variational EM & Review.mp4 |
17.4 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/006.Variational inference/030. Variational EM & Review.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/031. Topic modeling.mp4 |
16.8 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/031. Topic modeling.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/032. Dirichlet distribution.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/032. Dirichlet distribution.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/033. Latent Dirichlet Allocation.mp4 |
18.2 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/033. Latent Dirichlet Allocation.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/034. LDA E-step, theta.mp4 |
75.6 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/034. LDA E-step, theta.srt |
9 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/035. LDA E-step, z.mp4 |
59.2 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/035. LDA E-step, z.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/036. LDA M-step & prediction.mp4 |
93.5 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/036. LDA M-step & prediction.srt |
12 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/037. Extensions of LDA.mp4 |
15.8 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/007.Latent Dirichlet Allocation/037. Extensions of LDA.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/038. Monte Carlo estimation.mp4 |
44.5 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/038. Monte Carlo estimation.srt |
17 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/039. Sampling from 1-d distributions.mp4 |
47 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/039. Sampling from 1-d distributions.srt |
16 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/040. Markov Chains.mp4 |
47.1 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/040. Markov Chains.srt |
16 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/041. Gibbs sampling.mp4 |
61.4 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/041. Gibbs sampling.srt |
13 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/042. Example of Gibbs sampling.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/042. Example of Gibbs sampling.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/043. Metropolis-Hastings.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/043. Metropolis-Hastings.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/044. Metropolis-Hastings choosing the critic.mp4 |
42 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/044. Metropolis-Hastings choosing the critic.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/045. Example of Metropolis-Hastings.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/045. Example of Metropolis-Hastings.srt |
12 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/046. Markov Chain Monte Carlo summary.mp4 |
26.8 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/046. Markov Chain Monte Carlo summary.srt |
12 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/047. MCMC for LDA.mp4 |
46.7 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/047. MCMC for LDA.srt |
21 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/048. Bayesian Neural Networks.mp4 |
34 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/008.MCMC/048. Bayesian Neural Networks.srt |
15 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/049. Scaling Variational Inference & Unbiased estimates.mp4 |
19.5 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/049. Scaling Variational Inference & Unbiased estimates.srt |
8 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/050. Modeling a distribution of images.mp4 |
32.2 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/050. Modeling a distribution of images.srt |
14 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/051. Using CNNs with a mixture of Gaussians.mp4 |
24.9 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/051. Using CNNs with a mixture of Gaussians.srt |
10 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/052. Scaling variational EM.mp4 |
47.8 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/052. Scaling variational EM.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/053. Gradient of decoder.mp4 |
19.3 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/053. Gradient of decoder.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/054. Log derivative trick.mp4 |
20.8 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/054. Log derivative trick.srt |
8 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/055. Reparameterization trick.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/009.Variational autoencoders/055. Reparameterization trick.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/010.Variational Dropout/056. Learning with priors.mp4 |
30.4 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/010.Variational Dropout/056. Learning with priors.srt |
9 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/010.Variational Dropout/057. Dropout as Bayesian procedure.mp4 |
35 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/010.Variational Dropout/057. Dropout as Bayesian procedure.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/010.Variational Dropout/058. Sparse variational dropout.mp4 |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/010.Variational Dropout/058. Sparse variational dropout.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/059. Nonparametric methods.mp4 |
18.2 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/059. Nonparametric methods.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/060. Gaussian processes.mp4 |
24.2 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/060. Gaussian processes.srt |
10 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/061. GP for machine learning.mp4 |
16.4 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/061. GP for machine learning.srt |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/062. Derivation of main formula.mp4 |
69.9 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/062. Derivation of main formula.srt |
9 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/063. Nuances of GP.mp4 |
36.8 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/063. Nuances of GP.srt |
14 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/064. Bayesian optimization.mp4 |
31.2 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/064. Bayesian optimization.srt |
13 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/065. Applications of Bayesian optimization.mp4 |
16.6 MB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/011.Gaussian Processes and Bayesian Optimization/065. Applications of Bayesian optimization.srt |
6 KB |
[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/[CourseClub.NET].url |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/[FCS Forum].url |
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[CourseClub.NET] Coursera - Bayesian Methods for Machine Learning/[FreeCourseSite.com].url |
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