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【影视】 Machine Learning, Deep Learning and Bayesian Learning

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[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 174.6 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 109.8 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 107.7 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 107.1 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 95.4 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 94.9 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 94.4 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 88.2 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 84.0 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 83.3 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 82.2 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 81.8 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 80.2 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 78.2 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 75.0 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 74.1 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 74.0 MB
[TutsNode.com] - Machine Learning, Deep Learning and Bayesian Learning/08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 72.0 MB

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【文档书籍】 Gatsonis C. Case Studies in Bayesian Statistics Vol V 2002

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Gatsonis C. Case Studies in Bayesian Statistics Vol II 1995.pdf 55.1 MB
Gatsonis C. Case Studies in Bayesian Statistics Vol III 1997.pdf 41.8 MB
Gatsonis C. Case Studies in Bayesian Statistics Vol IV 1999.pdf 40.3 MB
Gatsonis C. Case Studies in Bayesian Statistics 1993.pdf 35.4 MB
Gatsonis C. Case Studies in Bayesian Statistics Vol V 2002.pdf 26.1 MB
Readme.txt 957 Bytes

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【压缩文件】 [ DevCourseWeb.com ] Udemy - A Comprehensive Guide to Bayesian Statistics.zip

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[ DevCourseWeb.com ] Udemy - A Comprehensive Guide to Bayesian Statistics.zip 830.5 MB

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【其他】 Everything Is Predictable- How Bayesian Statistics Explain Our World [2024]

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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Gaussian Process Regression for Bayesian Machine Learning.zip

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【影视】 [FreeCoursesOnline.Me] Coursera - Bayesian Methods for Machine Learning

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001.Introduction to Bayesian methods/001. Think bayesian & Statistics review.mp4 24.8 MB
001.Introduction to Bayesian methods/001. Think bayesian & Statistics review.srt 10.9 kB
001.Introduction to Bayesian methods/002. Bayesian approach to statistics.mp4 17.9 MB
001.Introduction to Bayesian methods/002. Bayesian approach to statistics.srt 7.1 kB
001.Introduction to Bayesian methods/003. How to define a model.mp4 10.5 MB
001.Introduction to Bayesian methods/003. How to define a model.srt 4.2 kB
001.Introduction to Bayesian methods/004. Example thief & alarm.mp4 62.8 MB
001.Introduction to Bayesian methods/004. Example thief & alarm.srt 12.8 kB
001.Introduction to Bayesian methods/005. Linear regression.mp4 52.5 MB
001.Introduction to Bayesian methods/005. Linear regression.srt 11.5 kB
002.Conjugate priors/006. Analytical inference.mp4 14.5 MB
002.Conjugate priors/006. Analytical inference.srt 5.0 kB
002.Conjugate priors/007. Conjugate distributions.mp4 9.7 MB
002.Conjugate priors/007. Conjugate distributions.srt 3.4 kB
002.Conjugate priors/008. Example Normal, precision.mp4 17.2 MB
002.Conjugate priors/008. Example Normal, precision.srt 6.9 kB
002.Conjugate priors/009. Example Bernoulli.mp4 14.7 MB
002.Conjugate priors/009. Example Bernoulli.srt 5.6 kB
003.Latent Variable Models/010. Latent Variable Models.mp4 38.6 MB
003.Latent Variable Models/010. Latent Variable Models.srt 15.5 kB

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【影视】 [Tutorialsplanet.NET] Udemy - Machine Learning, Deep Learning and Bayesian Learning

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03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 174.6 MB
12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 109.8 MB
13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 107.7 MB
05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 107.1 MB
09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 95.4 MB
03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 94.9 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 94.4 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 88.2 MB
09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 84.0 MB
10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 83.3 MB
03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 82.2 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 81.8 MB
06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 80.2 MB
09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 78.2 MB
03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 75.0 MB
14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 74.1 MB
14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 74.0 MB
08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 72.0 MB

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【文档书籍】 Gatsonis C. Case Studies in Bayesian Statistics Vol IV 1999

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Gatsonis C. Case Studies in Bayesian Statistics Vol II 1995.pdf 55.1 MB
Gatsonis C. Case Studies in Bayesian Statistics Vol III 1997.pdf 41.8 MB
Gatsonis C. Case Studies in Bayesian Statistics Vol IV 1999.pdf 40.3 MB
Gatsonis C. Case Studies in Bayesian Statistics 1993.pdf 35.4 MB
Readme.txt 957 Bytes

猜你喜欢： Case Statistics Vol IV 1999 Gatsonis Bayesian Studies

【影视】 [GigaCourse.Com] Udemy - Bayesian Machine Learning in Python A

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08 Setting Up Your Environment (FAQ by Student Request)/067 Windows-Focused Environment Setup 2018.mp4 195.5 MB
09 Extra Help With Python Coding for Beginners (FAQ by Student Request)/071 Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
05 Bayesian A_B Testing/052 Bayesian Bandits _ Thompson Sampling Theory (pt 2).mp4 78.5 MB
04 Traditional A_B Testing/033 Z-Test Code (pt 1).mp4 71.2 MB
05 Bayesian A_B Testing/051 Bayesian Bandits _ Thompson Sampling Theory (pt 1).mp4 58.9 MB
05 Bayesian A_B Testing/048 UCB1 Theory.mp4 58.5 MB
02 The High-Level Picture/005 What is Bayesian Machine Learning_.mp4 57.3 MB
03 Bayes Rule and Probability Review/016 Probability Review in Code.mp4 57.0 MB
05 Bayesian A_B Testing/037 Section Introduction_ The Explore-Exploit Dilemma.mp4 54.8 MB
05 Bayesian A_B Testing/060 (Optional) Alternative Bandit Designs.mp4 54.5 MB
04 Traditional A_B Testing/028 Hypothesis Testing - The API Approach.mp4 50.5 MB
07 Practice Makes Perfect/066 The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
05 Bayesian A_B Testing/038 Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
05 Bayesian A_B Testing/055 Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
04 Traditional A_B Testing/036 Classical A_B Testing Section Summary.mp4 48.5 MB
05 Bayesian A_B Testing/044 Comparing Different Epsilons.mp4 46.1 MB
08 Setting Up Your Environment (FAQ by Student Request)/068 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
01 Introduction and Outline/003 How to succeed in this course.mp4 45.9 MB
03 Bayes Rule and Probability Review/011 Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
06 Bayesian A_B Testing Extension/061 More about the Explore-Exploit Dilemma.mp4 45.9 MB

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【影视】 [ FreeCourseWeb.com ] Udemy - Bayesian Statistics - A Step-by-step Introduction

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~Get Your Files Here !/6. Normal - Normal/6. Example Normal-Normal Problem with R and Stan.mp4 132.2 MB
~Get Your Files Here !/4. Beta-Binomial Family/5. Posterior Distribution What are Conjugate Priors.mp4 124.1 MB
~Get Your Files Here !/5. Poisson - Gamma/2. Gamma Distribution and Choosing Hyperparameters.mp4 117.8 MB
~Get Your Files Here !/5. Poisson - Gamma/8. Example Poisson-Gamma Problem with R and Stan.mp4 113.3 MB
~Get Your Files Here !/4. Beta-Binomial Family/11. Example Beta-Binomial Problem with R.mp4 110.9 MB
~Get Your Files Here !/4. Beta-Binomial Family/1. Binomial Random Variables.mp4 106.3 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/6. CDFs and Inverse CDFs.mp4 96.1 MB
~Get Your Files Here !/4. Beta-Binomial Family/12. Example Beta-Binomial Problem with Stan.mp4 94.9 MB
~Get Your Files Here !/4. Beta-Binomial Family/2. Prior The Beta Distribution.mp4 91.1 MB
~Get Your Files Here !/6. Normal - Normal/2. Prior Normal Distribution and choosing hyperparameters.mp4 88.0 MB
~Get Your Files Here !/7. More advanced models/3. Example Simple Linear Regression Problem with R and Stan.mp4 87.2 MB
~Get Your Files Here !/7. More advanced models/2. Simple Linear Regression.mp4 86.0 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/9. Point Estimates.mp4 84.2 MB
~Get Your Files Here !/5. Poisson - Gamma/1. Likelihood Poisson Distribution.mp4 79.8 MB
~Get Your Files Here !/6. Normal - Normal/3. Posterior Distribution and Example.mp4 76.2 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/2. Likelihood and Random Variables.mp4 75.1 MB
~Get Your Files Here !/7. More advanced models/1. Predictive distributions, unknown variance.mp4 72.9 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/7. Credible Intervals.mp4 71.7 MB
~Get Your Files Here !/6. Normal - Normal/1. Normal Distribution.mp4 70.9 MB
~Get Your Files Here !/3. Continuous Priors and the Uniform Distribution/1. Continuous Priors and the Uniform Distribution.mp4 70.6 MB

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【影视】 [CourserHub.com] Coursera - Bayesian Statistics Specialization

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mixture-models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/02_em-for-location-mixtures-of-gaussians.mp4 127.6 MB
bayesian-statistics-time-series-analysis/01_week-1-introduction-to-time-series-and-the-ar-1-process/04_the-ar-1-maximum-likelihood-estimation-and-bayesian-inference/02_maximum-likelihood-estimation-in-the-ar-1.mp4 127.2 MB
mixture-models/04_applications-of-mixture-models/02_clustering/01_mixture-models-for-clustering.mp4 112.9 MB
mixture-models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/01_basic-definitions.mp4 109.1 MB
bayesian-statistics-capstone/03_bayesian-location-mixture-of-ar-p-model/01_week-3/02_full-conditional-distributions-of-model-parameters.mp4 107.7 MB
mixture-models/05_practical-considerations/02_determining-the-number-of-components-in-a-mixture-model/05_estimating-the-full-partition-structure-in-bayesian-settings.mp4 106.8 MB
mixture-models/02_maximum-likelihood-estimation-for-mixture-models/01_the-em-algorithm-for-mixture-models/01_em-for-general-mixtures.mp4 103.1 MB
mixture-models/04_applications-of-mixture-models/03_classification/01_mixture-models-and-naive-bayes-classifiers.mp4 95.8 MB
mixture-models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/03_mcmc-for-location-mixtures-of-normals-part-1.mp4 90.8 MB
mixture-models/04_applications-of-mixture-models/03_classification/02_linear-and-quadratic-discriminant-analysis-in-the-context-of-mixture-models.mp4 87.9 MB
bayesian-statistics-time-series-analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/01_definition-and-state-space-representation.mp4 83.7 MB
bayesian-statistics-time-series-analysis/04_week-4-normal-dynamic-linear-models-part-ii/02_bayesian-inference-in-the-ndlm-part-ii/03_specifying-the-system-covariance-matrix-via-discount-factors.mp4 80.2 MB
mixture-models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/02_markov-chain-monte-carlo-algorithms-part-2.mp4 79.3 MB
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/02_bayesian-inference-in-the-ndlm-part-i/01_filtering.mp4 73.9 MB
bayesian-statistics-time-series-analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/02_examples.mp4 72.2 MB
mixture-models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/01_markov-chain-monte-carlo-algorithms-part-1.mp4 71.5 MB
mixture-models/03_bayesian-estimation-for-mixture-models/01_markov-chain-monte-carlo-algorithms-for-mixture-models/04_mcmc-for-location-mixtures-of-normals-part-2.mp4 70.5 MB
bayesian-statistics-time-series-analysis/04_week-4-normal-dynamic-linear-models-part-ii/01_seasonal-ndlms/01_fourier-representation.mp4 66.1 MB
bayesian-statistics-time-series-analysis/03_week-3-normal-dynamic-linear-models-part-i/01_the-normal-dynamic-linear-model-definition-model-classes-and-the-superposition/01_ndlm-definition.mp4 64.1 MB
mixture-models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/05_parameter-identifiability.mp4 63.2 MB

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【文档书籍】 Gatsonis C. Case Studies in Bayesian Statistics Vol II 1995

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Gatsonis C. Case Studies in Bayesian Statistics Vol II 1995.pdf 55.1 MB
Gatsonis C. Case Studies in Bayesian Statistics 1993.pdf 35.4 MB
Readme.txt 957 Bytes

猜你喜欢： Case Statistics 1995 Vol II Gatsonis Bayesian Studies

【压缩文件】 [ FreeCourseWeb.com ] Bayesian Bounds for Parameter Estimation and Nonlinear Filtering - Tracking.zip

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[ FreeCourseWeb.com ] Bayesian Bounds for Parameter Estimation and Nonlinear Filtering - Tracking.zip 242.4 MB

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【文档书籍】 Ghosh S. Bayesian statistical methods (Instructor Res.) 2019

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Ghosh S. Bayesian statistical methods (Instructor Resources) 2019.pdf 4.1 MB

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【压缩文件】 [ FreeCourseWeb.com ] Bayesian Machine Learning in Python - A - B Testing (updated 8 - 2020).zip

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【影视】 Udemy - Machine Learning, Deep Learning and Bayesian Learning

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03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 174.6 MB
12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 109.8 MB
13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 107.7 MB
05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 107.1 MB
09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 95.4 MB
03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 94.9 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 94.4 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 88.2 MB
09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 84.0 MB
10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 83.3 MB
03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 82.2 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 81.8 MB
06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 80.2 MB
09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 78.2 MB
03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 75.0 MB
14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 74.1 MB
14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 74.0 MB
08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 72.0 MB

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【影视】 [GigaCourse.Com] Udemy - Machine Learning, Deep Learning and Bayesian Learning

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03 - Machine Learning Numpy + Scikit Learn/012 CART part 2.mp4 174.6 MB
12 - Pixel Level Segmentation (Semantic Segmentation) with PyTorch/009 Semantic Segmentation training with PyTorch Lightning.mp4 136.5 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/005 Titanic dataset.mp4 122.0 MB
09 - Deep Learning Recurrent Neural Nets/010 Sequence to Sequence models Prediction step.mp4 109.8 MB
13 - Deep Learning Transformers and BERT/008 Pytorch Lightning + DistilBERT for classification.mp4 107.7 MB
05 - Unsupervised Learning/002 Fashion MNIST PCA.mp4 107.1 MB
09 - Deep Learning Recurrent Neural Nets/005 Deep Learning - Long Short Term Memory (LSTM) Nets.mp4 95.4 MB
03 - Machine Learning Numpy + Scikit Learn/009 Linear Regresson Part 1.mp4 94.9 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/007 Sklearn classification.mp4 94.4 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/019 Area Under Curve (AUC) Part 1.mp4 88.2 MB
09 - Deep Learning Recurrent Neural Nets/008 Sequence to Sequence Introduction + Data Prep.mp4 84.0 MB
10 - Deep Learning PyTorch Introduction/006 Deep Learning with Pytorch Stochastic Gradient Descent.mp4 83.3 MB
03 - Machine Learning Numpy + Scikit Learn/004 Kmeans part 1.mp4 82.2 MB
04 - Machine Learning Classification + Time Series + Model Diagnostics/012 FB Prophet part 1.mp4 81.8 MB
06 - Natural Language Processing + Regularization/009 Feature Extraction with Spacy (using Pandas).mp4 80.2 MB
09 - Deep Learning Recurrent Neural Nets/007 Transfer Learning - GLOVE vectors.mp4 78.2 MB
03 - Machine Learning Numpy + Scikit Learn/010 Linear Regression Part 2.mp4 75.0 MB
14 - Bayesian Learning and probabilistic programming/005 Coin Toss Example with Pymc3.mp4 74.1 MB
14 - Bayesian Learning and probabilistic programming/004 Bayesian learning Population estimation pymc3 way.mp4 74.0 MB
08 - Deep Learning (TensorFlow) - Convolutional Neural Nets/008 Nose Tip detection with CNNs.mp4 72.0 MB

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【压缩文件】 Bayesian Bodybuilidng Course

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【影视】 [FreeCourseSite.com] Udemy - Bayesian Machine Learning in Python AB Testing

收录时间:2024-06-26 文档个数:404 文档大小:2.8 GB 最近下载:2025-05-15 人气:469 磁力链接

8 - Setting Up Your Environment FAQ by Student Request/68 - Anaconda Environment Setup.mp4 323.2 MB
8 - Setting Up Your Environment FAQ by Student Request/69 - How to install Numpy Scipy Matplotlib Pandas IPython Theano and TensorFlow.mp4 200.8 MB
10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/77 - Machine Learning and AI Prerequisite Roadmap pt 2.mp4 142.4 MB
10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/76 - Machine Learning and AI Prerequisite Roadmap pt 1.mp4 124.1 MB
9 - Extra Help With Python Coding for Beginners FAQ by Student Request/72 - Proof that using Jupyter Notebook is the same as not using it.mp4 113.3 MB
9 - Extra Help With Python Coding for Beginners FAQ by Student Request/70 - How to Code by Yourself part 1.mp4 97.5 MB
4 - Traditional AB Testing/33 - ZTest Code pt 1.mp4 87.4 MB
11 - Appendix FAQ Finale/79 - BONUS.mp4 63.8 MB
10 - Effective Learning Strategies for Machine Learning FAQ by Student Request/75 - Is this for Beginners or Experts Academic or Practical Fast or slowpaced.mp4 62.4 MB
5 - Bayesian AB Testing/55 - Thompson Sampling With Gaussian Reward Theory.mp4 56.1 MB
7 - Practice Makes Perfect/67 - The most important quiz of all Obtaining an infinite amount of practice.mp4 54.6 MB
5 - Bayesian AB Testing/38 - Applications of the ExploreExploit Dilemma.mp4 49.3 MB
5 - Bayesian AB Testing/52 - Bayesian Bandits Thompson Sampling Theory pt 2.mp4 44.0 MB
3 - Bayes Rule and Probability Review/19 - Suggestion Box.mp4 41.7 MB
5 - Bayesian AB Testing/56 - Thompson Sampling With Gaussian Reward Code.mp4 36.6 MB
1 - Introduction and Outline/2 - Where to get the code for this course.mp4 36.4 MB
4 - Traditional AB Testing/34 - ZTest Code pt 2.mp4 35.5 MB
5 - Bayesian AB Testing/61 - Optional Alternative Bandit Designs.mp4 35.3 MB
3 - Bayes Rule and Probability Review/16 - Probability Review in Code.mp4 34.1 MB
5 - Bayesian AB Testing/48 - UCB1 Theory.mp4 33.6 MB

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

收录时间:2021-04-25 文档个数:136 文档大小:2.4 GB 最近下载:2025-05-15 人气:2456 磁力链接

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

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