FreeCoursesOnline Me Coursera Bayesian Methods for Machine Learning FCO

FreeCoursesOnline Me Coursera Bayesian Methods for Machine Learning FCO

Name	[FreeCoursesOnline.Me] [Coursera] Bayesian Methods for Machine Learning - [FCO]	DOWNLOAD Copy Link
Total Size	2.4 GB
Total Files	136
Last Seen	2024-11-06 23:36
Hash	D39FFAB169B8717131BD5C5C511983E03FB6423B

/001.Introduction to Bayesian methods/
001. Think bayesian & Statistics review.mp4	24.8 MB
001. Think bayesian & Statistics review.srt	10.9 KB
002. Bayesian approach to statistics.mp4	17.9 MB
002. Bayesian approach to statistics.srt	7.1 KB
003. How to define a model.mp4	10.5 MB
003. How to define a model.srt	4.2 KB
004. Example thief & alarm.mp4	62.8 MB
004. Example thief & alarm.srt	12.8 KB
005. Linear regression.mp4	52.5 MB
005. Linear regression.srt	11.5 KB
/002.Conjugate priors/
006. Analytical inference.mp4	14.5 MB
006. Analytical inference.srt	5.0 KB
007. Conjugate distributions.mp4	9.7 MB
007. Conjugate distributions.srt	3.4 KB
008. Example Normal, precision.mp4	17.2 MB
008. Example Normal, precision.srt	6.9 KB
009. Example Bernoulli.mp4	14.7 MB
009. Example Bernoulli.srt	5.6 KB
/003.Latent Variable Models/
010. Latent Variable Models.mp4	38.6 MB
010. Latent Variable Models.srt	15.5 KB
011. Probabilistic clustering.mp4	22.8 MB
011. Probabilistic clustering.srt	8.2 KB
012. Gaussian Mixture Model.mp4	30.6 MB
012. Gaussian Mixture Model.srt	13.2 KB
013. Training GMM.mp4	33.1 MB
013. Training GMM.srt	14.1 KB
014. Example of GMM training.mp4	32.8 MB
014. Example of GMM training.srt	13.5 KB
/004.Expectation Maximization algorithm/
015. Jensen's inequality & Kullback Leibler divergence.mp4	29.7 MB
015. Jensen's inequality & Kullback Leibler divergence.srt	12.2 KB
016. Expectation-Maximization algorithm.mp4	33.5 MB
016. Expectation-Maximization algorithm.srt	13.7 KB
017. E-step details.mp4	69.5 MB
017. E-step details.srt	13.3 KB
018. M-step details.mp4	20.1 MB
018. M-step details.srt	8.2 KB
019. Example EM for discrete mixture, E-step.mp4	59.1 MB
019. Example EM for discrete mixture, E-step.srt	10.4 KB
020. Example EM for discrete mixture, M-step.mp4	68.6 MB
020. Example EM for discrete mixture, M-step.srt	12.7 KB
021. Summary of Expectation Maximization.mp4	21.3 MB
021. Summary of Expectation Maximization.srt	8.3 KB
/005.Applications and examples/
022. General EM for GMM.mp4	65.6 MB
022. General EM for GMM.srt	14.6 KB
023. K-means from probabilistic perspective.mp4	29.8 MB
023. K-means from probabilistic perspective.srt	11.5 KB
024. K-means, M-step.mp4	32.5 MB
024. K-means, M-step.srt	7.4 KB
025. Probabilistic PCA.mp4	40.9 MB
025. Probabilistic PCA.srt	16.4 KB
026. EM for Probabilistic PCA.mp4	22.9 MB
026. EM for Probabilistic PCA.srt	8.9 KB
/006.Variational inference/
027. Why approximate inference.mp4	16.5 MB
027. Why approximate inference.srt	6.4 KB
028. Mean field approximation.mp4	81.1 MB
028. Mean field approximation.srt	11.9 KB
029. Example Ising model.mp4	71.5 MB
029. Example Ising model.srt	17.3 KB
030. Variational EM & Review.mp4	18.2 MB
030. Variational EM & Review.srt	7.8 KB
/007.Latent Dirichlet Allocation/
031. Topic modeling.mp4	17.6 MB
031. Topic modeling.srt	6.7 KB
032. Dirichlet distribution.mp4	21.5 MB
032. Dirichlet distribution.srt	8.4 KB
033. Latent Dirichlet Allocation.mp4	19.1 MB
033. Latent Dirichlet Allocation.srt	6.8 KB
034. LDA E-step, theta.mp4	79.2 MB
034. LDA E-step, theta.srt	9.7 KB
035. LDA E-step, z.mp4	62.1 MB
035. LDA E-step, z.srt	7.7 KB
036. LDA M-step & prediction.mp4	98.0 MB
036. LDA M-step & prediction.srt	11.9 KB
037. Extensions of LDA.mp4	16.6 MB
037. Extensions of LDA.srt	6.3 KB
/008.MCMC/
038. Monte Carlo estimation.mp4	46.7 MB
038. Monte Carlo estimation.srt	17.3 KB
039. Sampling from 1-d distributions.mp4	49.3 MB
039. Sampling from 1-d distributions.srt	16.9 KB
040. Markov Chains.mp4	49.3 MB
040. Markov Chains.srt	16.1 KB
041. Gibbs sampling.mp4	64.4 MB
041. Gibbs sampling.srt	13.2 KB
042. Example of Gibbs sampling.mp4	28.9 MB
042. Example of Gibbs sampling.srt	9.5 KB
043. Metropolis-Hastings.mp4	31.4 MB
043. Metropolis-Hastings.srt	10.0 KB
044. Metropolis-Hastings choosing the critic.mp4	44.0 MB
044. Metropolis-Hastings choosing the critic.srt	9.4 KB
045. Example of Metropolis-Hastings.mp4	38.4 MB
045. Example of Metropolis-Hastings.srt	12.8 KB
046. Markov Chain Monte Carlo summary.mp4	28.1 MB
046. Markov Chain Monte Carlo summary.srt	12.7 KB
047. MCMC for LDA.mp4	49.0 MB
047. MCMC for LDA.srt	21.3 KB
048. Bayesian Neural Networks.mp4	35.7 MB
048. Bayesian Neural Networks.srt	15.2 KB
/009.Variational autoencoders/
049. Scaling Variational Inference & Unbiased estimates.mp4	20.4 MB
049. Scaling Variational Inference & Unbiased estimates.srt	8.4 KB
050. Modeling a distribution of images.mp4	33.8 MB
050. Modeling a distribution of images.srt	14.6 KB
051. Using CNNs with a mixture of Gaussians.mp4	26.1 MB
051. Using CNNs with a mixture of Gaussians.srt	9.9 KB
052. Scaling variational EM.mp4	50.1 MB
052. Scaling variational EM.srt	19.4 KB
053. Gradient of decoder.mp4	20.2 MB
053. Gradient of decoder.srt	7.8 KB
054. Log derivative trick.mp4	21.8 MB
054. Log derivative trick.srt	8.2 KB
055. Reparameterization trick.mp4	26.4 MB
055. Reparameterization trick.srt	9.6 KB
/010.Variational Dropout/
056. Learning with priors.mp4	31.9 MB
056. Learning with priors.srt	8.9 KB
057. Dropout as Bayesian procedure.mp4	36.7 MB
057. Dropout as Bayesian procedure.srt	8.5 KB
058. Sparse variational dropout.mp4	31.1 MB
058. Sparse variational dropout.srt	7.7 KB
/011.Gaussian Processes and Bayesian Optimization/
059. Nonparametric methods.mp4	19.0 MB
059. Nonparametric methods.srt	7.7 KB
060. Gaussian processes.mp4	25.4 MB
060. Gaussian processes.srt	9.9 KB
061. GP for machine learning.mp4	17.1 MB
061. GP for machine learning.srt	6.6 KB
062. Derivation of main formula.mp4	73.3 MB
062. Derivation of main formula.srt	9.7 KB
063. Nuances of GP.mp4	38.6 MB
063. Nuances of GP.srt	14.1 KB
064. Bayesian optimization.mp4	32.7 MB
064. Bayesian optimization.srt	12.8 KB
065. Applications of Bayesian optimization.mp4	17.4 MB
065. Applications of Bayesian optimization.srt	6.2 KB
/
Discuss.FreeTutorials.Us.html	169.7 KB
FreeCoursesOnline.Me.html	110.9 KB
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How you can help Team-FTU.txt	0.3 KB
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Total files 136