[FreeCoursesOnline.Me] [Coursera] Bayesian Methods for Machine Learning - [FCO] - 2048BT - 全球最新最全bt种子资源在线搜索库，实时索引全球磁力链接资源

BT种子名称

分享给好友

BT种子基本信息

种子哈希：d39ffab169b8717131bd5c5c511983e03fb6423b
文档大小：2.4 GB
文档个数：136个文档
下载次数：4279次
下载速度：极快
收录时间：2020-02-16
最近下载：2024-10-25
DMCA/屏蔽：DMCA/屏蔽

下载磁力链接

magnet:?xt=urn:btih:D39FFAB169B8717131BD5C5C511983E03FB6423B
复制磁力链接到utorrent、Bitcomet、迅雷、115、百度网盘、PIKPAK等下载工具进行下载。

[FreeCoursesOnline.Me] [Coursera] Bayesian Methods for Machine Learning - [FCO]的二维码

文档列表

007.Latent Dirichlet Allocation/036. LDA M-step & prediction.mp4 98.0 MB
006.Variational inference/028. Mean field approximation.mp4 81.1 MB
007.Latent Dirichlet Allocation/034. LDA E-step, theta.mp4 79.2 MB
011.Gaussian Processes and Bayesian Optimization/062. Derivation of main formula.mp4 73.3 MB
006.Variational inference/029. Example Ising model.mp4 71.5 MB
004.Expectation Maximization algorithm/017. E-step details.mp4 69.5 MB
004.Expectation Maximization algorithm/020. Example EM for discrete mixture, M-step.mp4 68.6 MB
005.Applications and examples/022. General EM for GMM.mp4 65.6 MB
008.MCMC/041. Gibbs sampling.mp4 64.4 MB
001.Introduction to Bayesian methods/004. Example thief & alarm.mp4 62.8 MB
007.Latent Dirichlet Allocation/035. LDA E-step, z.mp4 62.1 MB
004.Expectation Maximization algorithm/019. Example EM for discrete mixture, E-step.mp4 59.1 MB
001.Introduction to Bayesian methods/005. Linear regression.mp4 52.5 MB
009.Variational autoencoders/052. Scaling variational EM.mp4 50.1 MB
008.MCMC/040. Markov Chains.mp4 49.3 MB
008.MCMC/039. Sampling from 1-d distributions.mp4 49.3 MB
008.MCMC/047. MCMC for LDA.mp4 49.0 MB
008.MCMC/038. Monte Carlo estimation.mp4 46.7 MB
008.MCMC/044. Metropolis-Hastings choosing the critic.mp4 44.0 MB
005.Applications and examples/025. Probabilistic PCA.mp4 40.9 MB
011.Gaussian Processes and Bayesian Optimization/063. Nuances of GP.mp4 38.6 MB
003.Latent Variable Models/010. Latent Variable Models.mp4 38.6 MB
008.MCMC/045. Example of Metropolis-Hastings.mp4 38.4 MB
010.Variational Dropout/057. Dropout as Bayesian procedure.mp4 36.7 MB
008.MCMC/048. Bayesian Neural Networks.mp4 35.7 MB
009.Variational autoencoders/050. Modeling a distribution of images.mp4 33.8 MB
004.Expectation Maximization algorithm/016. Expectation-Maximization algorithm.mp4 33.5 MB
003.Latent Variable Models/013. Training GMM.mp4 33.1 MB
003.Latent Variable Models/014. Example of GMM training.mp4 32.8 MB
011.Gaussian Processes and Bayesian Optimization/064. Bayesian optimization.mp4 32.7 MB
005.Applications and examples/024. K-means, M-step.mp4 32.5 MB
010.Variational Dropout/056. Learning with priors.mp4 31.9 MB
008.MCMC/043. Metropolis-Hastings.mp4 31.4 MB
010.Variational Dropout/058. Sparse variational dropout.mp4 31.1 MB
003.Latent Variable Models/012. Gaussian Mixture Model.mp4 30.6 MB
005.Applications and examples/023. K-means from probabilistic perspective.mp4 29.8 MB
004.Expectation Maximization algorithm/015. Jensen's inequality & Kullback Leibler divergence.mp4 29.7 MB
008.MCMC/042. Example of Gibbs sampling.mp4 28.9 MB
008.MCMC/046. Markov Chain Monte Carlo summary.mp4 28.1 MB
009.Variational autoencoders/055. Reparameterization trick.mp4 26.4 MB
009.Variational autoencoders/051. Using CNNs with a mixture of Gaussians.mp4 26.1 MB
011.Gaussian Processes and Bayesian Optimization/060. Gaussian processes.mp4 25.4 MB
001.Introduction to Bayesian methods/001. Think bayesian & Statistics review.mp4 24.8 MB
005.Applications and examples/026. EM for Probabilistic PCA.mp4 22.9 MB
003.Latent Variable Models/011. Probabilistic clustering.mp4 22.8 MB
009.Variational autoencoders/054. Log derivative trick.mp4 21.8 MB
007.Latent Dirichlet Allocation/032. Dirichlet distribution.mp4 21.5 MB
004.Expectation Maximization algorithm/021. Summary of Expectation Maximization.mp4 21.3 MB
009.Variational autoencoders/049. Scaling Variational Inference & Unbiased estimates.mp4 20.4 MB
009.Variational autoencoders/053. Gradient of decoder.mp4 20.2 MB
004.Expectation Maximization algorithm/018. M-step details.mp4 20.1 MB
007.Latent Dirichlet Allocation/033. Latent Dirichlet Allocation.mp4 19.1 MB
011.Gaussian Processes and Bayesian Optimization/059. Nonparametric methods.mp4 19.0 MB
006.Variational inference/030. Variational EM & Review.mp4 18.2 MB
001.Introduction to Bayesian methods/002. Bayesian approach to statistics.mp4 17.9 MB
007.Latent Dirichlet Allocation/031. Topic modeling.mp4 17.6 MB
011.Gaussian Processes and Bayesian Optimization/065. Applications of Bayesian optimization.mp4 17.4 MB
002.Conjugate priors/008. Example Normal, precision.mp4 17.2 MB
011.Gaussian Processes and Bayesian Optimization/061. GP for machine learning.mp4 17.1 MB
007.Latent Dirichlet Allocation/037. Extensions of LDA.mp4 16.6 MB
006.Variational inference/027. Why approximate inference.mp4 16.5 MB
002.Conjugate priors/009. Example Bernoulli.mp4 14.7 MB
002.Conjugate priors/006. Analytical inference.mp4 14.5 MB
001.Introduction to Bayesian methods/003. How to define a model.mp4 10.5 MB
002.Conjugate priors/007. Conjugate distributions.mp4 9.7 MB
Discuss.FreeTutorials.Us.html 169.7 kB
FreeCoursesOnline.Me.html 110.9 kB
FreeTutorials.Eu.html 104.7 kB
008.MCMC/047. MCMC for LDA.srt 21.3 kB
009.Variational autoencoders/052. Scaling variational EM.srt 19.4 kB
008.MCMC/038. Monte Carlo estimation.srt 17.3 kB
006.Variational inference/029. Example Ising model.srt 17.3 kB
008.MCMC/039. Sampling from 1-d distributions.srt 16.9 kB
005.Applications and examples/025. Probabilistic PCA.srt 16.4 kB
008.MCMC/040. Markov Chains.srt 16.1 kB
003.Latent Variable Models/010. Latent Variable Models.srt 15.5 kB
008.MCMC/048. Bayesian Neural Networks.srt 15.2 kB
005.Applications and examples/022. General EM for GMM.srt 14.6 kB
009.Variational autoencoders/050. Modeling a distribution of images.srt 14.6 kB
011.Gaussian Processes and Bayesian Optimization/063. Nuances of GP.srt 14.1 kB
003.Latent Variable Models/013. Training GMM.srt 14.1 kB
004.Expectation Maximization algorithm/016. Expectation-Maximization algorithm.srt 13.7 kB
003.Latent Variable Models/014. Example of GMM training.srt 13.5 kB
004.Expectation Maximization algorithm/017. E-step details.srt 13.3 kB
003.Latent Variable Models/012. Gaussian Mixture Model.srt 13.2 kB
008.MCMC/041. Gibbs sampling.srt 13.2 kB
001.Introduction to Bayesian methods/004. Example thief & alarm.srt 12.8 kB
011.Gaussian Processes and Bayesian Optimization/064. Bayesian optimization.srt 12.8 kB
008.MCMC/045. Example of Metropolis-Hastings.srt 12.8 kB
008.MCMC/046. Markov Chain Monte Carlo summary.srt 12.7 kB
004.Expectation Maximization algorithm/020. Example EM for discrete mixture, M-step.srt 12.7 kB
004.Expectation Maximization algorithm/015. Jensen's inequality & Kullback Leibler divergence.srt 12.2 kB
006.Variational inference/028. Mean field approximation.srt 11.9 kB
007.Latent Dirichlet Allocation/036. LDA M-step & prediction.srt 11.9 kB
001.Introduction to Bayesian methods/005. Linear regression.srt 11.5 kB
005.Applications and examples/023. K-means from probabilistic perspective.srt 11.5 kB
001.Introduction to Bayesian methods/001. Think bayesian & Statistics review.srt 10.9 kB
004.Expectation Maximization algorithm/019. Example EM for discrete mixture, E-step.srt 10.4 kB
008.MCMC/043. Metropolis-Hastings.srt 10.0 kB
009.Variational autoencoders/051. Using CNNs with a mixture of Gaussians.srt 9.9 kB
011.Gaussian Processes and Bayesian Optimization/060. Gaussian processes.srt 9.9 kB
011.Gaussian Processes and Bayesian Optimization/062. Derivation of main formula.srt 9.7 kB
007.Latent Dirichlet Allocation/034. LDA E-step, theta.srt 9.7 kB
009.Variational autoencoders/055. Reparameterization trick.srt 9.6 kB
008.MCMC/042. Example of Gibbs sampling.srt 9.5 kB
008.MCMC/044. Metropolis-Hastings choosing the critic.srt 9.4 kB
010.Variational Dropout/056. Learning with priors.srt 8.9 kB
005.Applications and examples/026. EM for Probabilistic PCA.srt 8.9 kB
010.Variational Dropout/057. Dropout as Bayesian procedure.srt 8.5 kB
009.Variational autoencoders/049. Scaling Variational Inference & Unbiased estimates.srt 8.4 kB
007.Latent Dirichlet Allocation/032. Dirichlet distribution.srt 8.4 kB
004.Expectation Maximization algorithm/021. Summary of Expectation Maximization.srt 8.3 kB
003.Latent Variable Models/011. Probabilistic clustering.srt 8.2 kB
004.Expectation Maximization algorithm/018. M-step details.srt 8.2 kB
009.Variational autoencoders/054. Log derivative trick.srt 8.2 kB
009.Variational autoencoders/053. Gradient of decoder.srt 7.8 kB
006.Variational inference/030. Variational EM & Review.srt 7.8 kB
010.Variational Dropout/058. Sparse variational dropout.srt 7.7 kB
011.Gaussian Processes and Bayesian Optimization/059. Nonparametric methods.srt 7.7 kB
007.Latent Dirichlet Allocation/035. LDA E-step, z.srt 7.7 kB
005.Applications and examples/024. K-means, M-step.srt 7.4 kB
001.Introduction to Bayesian methods/002. Bayesian approach to statistics.srt 7.1 kB
002.Conjugate priors/008. Example Normal, precision.srt 6.9 kB
007.Latent Dirichlet Allocation/033. Latent Dirichlet Allocation.srt 6.8 kB
007.Latent Dirichlet Allocation/031. Topic modeling.srt 6.7 kB
011.Gaussian Processes and Bayesian Optimization/061. GP for machine learning.srt 6.6 kB
006.Variational inference/027. Why approximate inference.srt 6.4 kB
007.Latent Dirichlet Allocation/037. Extensions of LDA.srt 6.3 kB
011.Gaussian Processes and Bayesian Optimization/065. Applications of Bayesian optimization.srt 6.2 kB
002.Conjugate priors/009. Example Bernoulli.srt 5.6 kB
002.Conjugate priors/006. Analytical inference.srt 5.0 kB
001.Introduction to Bayesian methods/003. How to define a model.srt 4.2 kB
002.Conjugate priors/007. Conjugate distributions.srt 3.4 kB
[TGx]Downloaded from torrentgalaxy.org.txt 524 Bytes
How you can help Team-FTU.txt 259 Bytes
Torrent Downloaded From GloDls.to.txt 84 Bytes

==查看完整文档列表==

上一个：Namie Amuro - Red Carpet [2015.12.02].rar34.1 MB
下一个：The Essential Stevie Ray Vaughan 1.1 GB

种子标签

FreeCoursesOnline Me Methods Coursera Machine Learning Bayesian FCO

种子评价

优质的种子 (0) 假种子 (0) 有密码 (0) 低质量 (0) 有病毒 (0) 无法下载 (0)
欢迎对种子质量进行评价。

人气女优

北川ゆい Akira COCOLO Saiko あいだももあさのくるみあまいれもんいしかわ愛里いとうしいなうさみ恭香うちだまひろかぐやひめかとりこのみかないかほくすのき琴美クミコグレースくらもとまい（葉月ありさ）さとみ中村あみしいな純菜しのざきさとみ（三沢亜也）牧本千幸（つかもと友希）眞木ありさデヴィテラパトリックドミニカともさかまいともさか愛なごみもえひなこ

分享BT种子/磁力链接

亲，你知道吗？下载的人越多速度越快，赶快把本页面分享给好友一起下载吧^_^

2048BT

BT种子名称

[FreeCoursesOnline.Me] [Coursera] Bayesian Methods for Machine Learning - [FCO]

分享给好友

BT种子基本信息

下载磁力链接

下载BT种子

文档列表

猜你喜欢

种子标签

种子评价

最近搜索

人气女优

最新番号

分享BT种子/磁力链接

友情链接