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【影视】 [CourseClub.Me] Coursera – Bayesian Statistics Specialization

收录时间:2024-08-28 文档个数:611 文档大小:3.9 GB 最近下载:2025-05-14 人气:257 磁力链接

Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/02_clustering/01_mixture-models-for-clustering.mp4 112.9 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/03_definition-of-mixture-models/01_basic-definitions.mp4 109.1 MB
Coursera - Bayesian Statistics Capstone Project/03_bayesian-location-mixture-of-ar-p-model/01_week-3/02_full-conditional-distributions-of-model-parameters.mp4 107.7 MB
Coursera - Bayesian Statistics 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
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/03_classification/01_mixture-models-and-naive-bayes-classifiers.mp4 95.8 MB
Coursera - 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
Coursera - 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
Coursera - Bayesian Statistics Time Series Analysis/02_week-2-the-ar-p-process/01_the-general-ar-p-process/02_examples.mp4 72.2 MB
Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/01_seasonal-ndlms/01_fourier-representation.mp4 66.1 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/05_parameter-identifiability.mp4 63.2 MB
Coursera - Bayesian Statistics Capstone Project/01_bayesian-conjugate-analysis-for-autogressive-time-series-models/01_week-1/04_model-formulation.mp4 62.9 MB
Coursera - Bayesian Statistics Mixture Models/04_applications-of-mixture-models/01_density-estimation/01_density-estimation-using-mixture-models.mp4 61.0 MB
Coursera - Bayesian Statistics Mixture Models/01_basic-concepts-on-mixture-models/04_likelihood-function-for-mixture-models/04_the-likelihood-function.mp4 59.1 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/03_bernoulli-binomial-data/05_data-analysis-example-in-excel.mp4 54.5 MB
Coursera - Bayesian Statistics Techniques and Models/02_markov-chain-monte-carlo-mcmc/02_4-metropolis-hastings/02_demonstration.mp4 51.2 MB
Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/01_eeg-data.mp4 49.3 MB
Coursera - Bayesian Statistics Time Series Analysis/04_week-4-normal-dynamic-linear-models-part-ii/03_case-studies/02_google-trends.mp4 48.6 MB
Coursera - Bayesian Statistics Techniques and Models/03_common-statistical-models/03_8-anova/01_introduction-to-anova.mp4 47.8 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/02_statistical-inference/03_bayesian-inference/05_lesson-5-4-posterior-intervals.mp4 46.9 MB
Coursera - Bayesian Statistics From Concept to Data Analysis/03_priors-and-models-for-discrete-data/04_poisson-data/01_lesson-8-1-poisson-data.mp4 46.3 MB

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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】 [GigaCourse.Com] Udemy - Bayesian Machine Learning in Python AB Testing

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

收录时间:2024-01-16 文档个数:401 文档大小:2.8 GB 最近下载:2025-05-13 人气:54 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】 [GigaCourse.Com] Udemy - Bayesian Machine Learning in Python A

收录时间:2024-01-15 文档个数:173 文档大小:2.8 GB 最近下载:2025-05-16 人气:1402 磁力链接

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

收录时间:2023-12-26 文档个数:72 文档大小:3.2 GB 最近下载:2025-05-16 人气:3119 磁力链接

~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

猜你喜欢： Statistics Introduction step Udemy Step FreeCourseWeb Bayesian com

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

收录时间:2023-12-25 文档个数:639 文档大小:5.9 GB 最近下载:2025-05-16 人气:3529 磁力链接

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

收录时间:2022-05-14 文档个数:380 文档大小:5.9 GB 最近下载:2025-05-15 人气:989 磁力链接

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】 Udemy - Machine Learning, Deep Learning and Bayesian Learning

收录时间:2022-04-09 文档个数:368 文档大小:5.9 GB 最近下载:2025-05-15 人气:7425 磁力链接

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】 Machine Learning, Deep Learning and Bayesian Learning

收录时间:2022-03-31 文档个数:548 文档大小:6.0 GB 最近下载:2025-05-16 人气:2474 磁力链接

[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
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7. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
7. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
7. Appendix FAQ/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
7. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.7 MB
6. Practice Makes Perfect/2. Intro to Exercises on Conjugate Priors.mp4 28.9 MB
7. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Bayesian AB Testing/7. Bayesian AB Testing in Code.mp4 20.4 MB
3. Bayes Rule and Probability Review/7. Confidence Intervals.mp4 16.1 MB
5. Bayesian AB Testing/3. The Epsilon-Greedy Solution.mp4 16.0 MB
7. Appendix FAQ/5. How to Code by Yourself (part 2).mp4 15.5 MB
3. Bayes Rule and Probability Review/1. Bayes Rule Review.mp4 15.4 MB
7. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4 13.2 MB

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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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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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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.5 MB
4. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 71.2 MB
5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.9 MB
5. Bayesian AB Testing/12. UCB1 Theory.mp4 58.5 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
3. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 57.0 MB
5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.8 MB
5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.mp4 54.5 MB
4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 50.5 MB
7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.srt 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
4. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 48.5 MB
5. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 46.1 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 45.9 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB

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7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
8. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 43.8 MB
3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 42.9 MB
9. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 33.6 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
9. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.7 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
3. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 29.4 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB

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8. Setting Up Your Environment (FAQ by Student Request)/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
9. Extra Help With Python Coding for Beginners (FAQ by Student Request)/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Bayesian AB Testing/16. Bayesian Bandits Thompson Sampling Theory (pt 2).mp4 78.5 MB
4. Traditional AB Testing/14. Z-Test Code (pt 1).mp4 71.2 MB
5. Bayesian AB Testing/15. Bayesian Bandits Thompson Sampling Theory (pt 1).mp4 58.9 MB
5. Bayesian AB Testing/12. UCB1 Theory.mp4 58.5 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
3. Bayes Rule and Probability Review/11. Probability Review in Code.mp4 57.0 MB
5. Bayesian AB Testing/1. Section Introduction The Explore-Exploit Dilemma.mp4 54.8 MB
5. Bayesian AB Testing/24. (Optional) Alternative Bandit Designs.mp4 54.5 MB
4. Traditional AB Testing/9. Hypothesis Testing - The API Approach.mp4 50.5 MB
7. Practice Makes Perfect/3. The most important quiz of all - Obtaining an infinite amount of practice.mp4 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.srt 49.4 MB
5. Bayesian AB Testing/2. Applications of the Explore-Exploit Dilemma.mp4 49.3 MB
5. Bayesian AB Testing/19. Thompson Sampling With Gaussian Reward Theory.mp4 49.2 MB
4. Traditional AB Testing/17. Classical AB Testing Section Summary.mp4 48.5 MB
5. Bayesian AB Testing/8. Comparing Different Epsilons.mp4 46.1 MB
8. Setting Up Your Environment (FAQ by Student Request)/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 45.9 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB

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7. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.5 MB
8. Extra Help With Python Coding for Beginners/3. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
3. Bayes Rule and Probability Review/6. Maximum Likelihood Estimation - Bernoulli.mp4 45.9 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
3. Bayes Rule and Probability Review/3. Calculating Probabilities - Practice.mp4 43.8 MB
3. Bayes Rule and Probability Review/8. Maximum Likelihood Estimation - Gaussian (pt 1).mp4 42.9 MB
9. Effective Learning Strategies for Machine Learning/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
10. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
9. Effective Learning Strategies for Machine Learning/4. What order should I take your courses in (part 2).mp4 39.5 MB
3. Bayes Rule and Probability Review/9. Maximum Likelihood Estimation - Gaussian (pt 2).mp4 33.6 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
9. Effective Learning Strategies for Machine Learning/3. What order should I take your courses in (part 1).mp4 30.8 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
3. Bayes Rule and Probability Review/5. The Monty Hall Problem.mp4 29.4 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB

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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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7. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4 195.5 MB
7. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Traditional AB Testing/9. CTR AB Test in Code.mp4 59.7 MB
2. The High-Level Picture/2. What is Bayesian Machine Learning.mp4 57.3 MB
6. Practice Makes Perfect/6. The most important quiz of all - Obtaining an infinite amount of practice.mp4 52.4 MB
7. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Bayesian AB Testing/2. More about the Explore-Exploit Dilemma.mp4 45.9 MB
7. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
2. The High-Level Picture/1. Real-World Examples of AB Testing.mp4 40.4 MB
7. Appendix FAQ/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
7. Appendix FAQ/11. What order should I take your courses in (part 2).mp4 39.4 MB
1. Introduction and Outline/2. Where to get the code for this course.mp4 31.9 MB
7. Appendix FAQ/10. What order should I take your courses in (part 1).mp4 30.8 MB
1. Introduction and Outline/1. What's this course all about.mp4 30.7 MB
1. Introduction and Outline/3. How to succeed in this course.mp4 29.3 MB
6. Practice Makes Perfect/2. Intro to Exercises on Conjugate Priors.mp4 28.9 MB
7. Appendix FAQ/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Bayesian AB Testing/7. Bayesian AB Testing in Code.mp4 20.4 MB
3. Bayes Rule and Probability Review/9. Suggestion Box.mp4 16.9 MB
3. Bayes Rule and Probability Review/7. Confidence Intervals.mp4 16.1 MB

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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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