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【影视】 [FreeTutorials.Us] bayesian-machine-learning-in-python-ab-testing

收录时间:2017-08-19 文档个数:42 文档大小:376.8 MB 最近下载:2025-05-10 人气:951 磁力链接

01 Introduction and Outline/001 Whats this course all about.mp4 3.9 MB
01 Introduction and Outline/002 Where to get the code for this course.mp4 2.1 MB
01 Introduction and Outline/003 How to succeed in this course.mp4 5.8 MB
02 Bayes Rule and Probability Review/004 Bayes Rule Review.mp4 15.4 MB
02 Bayes Rule and Probability Review/005 Simple Probability Problem.mp4 3.4 MB
02 Bayes Rule and Probability Review/006 The Monty Hall Problem.mp4 6.3 MB
02 Bayes Rule and Probability Review/007 Imbalanced Classes.mp4 7.5 MB
02 Bayes Rule and Probability Review/008 Maximum Likelihood - Mean of a Gaussian.mp4 8.0 MB
02 Bayes Rule and Probability Review/009 Maximum Likelihood - Click-Through Rate.mp4 7.1 MB
02 Bayes Rule and Probability Review/010 Confidence Intervals.mp4 16.6 MB
02 Bayes Rule and Probability Review/011 What is the Bayesian Paradigm.mp4 10.4 MB
03 Traditional AB Testing/012 AB Testing Problem Setup.mp4 7.3 MB
03 Traditional AB Testing/013 Simple AB Testing Recipe.mp4 8.2 MB
03 Traditional AB Testing/014 P-Values.mp4 6.5 MB
03 Traditional AB Testing/015 Test Characteristics Assumptions and Modifications.mp4 11.0 MB
03 Traditional AB Testing/016 t-test in Code.mp4 6.2 MB
03 Traditional AB Testing/017 0.01 vs 0.011 - Why should we care.mp4 2.9 MB
03 Traditional AB Testing/018 AB Test for Click-Through Rates Chi-Square Test.mp4 9.9 MB
03 Traditional AB Testing/019 CTR AB Test in Code.mp4 17.9 MB
03 Traditional AB Testing/020 ABCD... Testing - The Bonferroni Correction.mp4 3.8 MB

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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】 [DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing

收录时间:2021-03-07 文档个数:126 文档大小:1.2 GB 最近下载:2025-04-16 人气:98 磁力链接

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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【影视】 [CourseClub.NET] Coursera - Bayesian Methods for Machine Learning

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

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Ghosh S. Bayesian statistical methods 2019.pdf 97.5 MB
Ghosh S. Bayesian statistical methods (Instructor Resources) 2019.pdf 4.1 MB

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【影视】 [DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing

收录时间:2021-03-09 文档个数:134 文档大小:1.5 GB 最近下载:2025-05-13 人气:2626 磁力链接

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

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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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【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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【压缩文件】 [ FreeCourseWeb.com ] Udemy - Bayesian Statistics.zip

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[ FreeCourseWeb.com ] Udemy - Bayesian Statistics.zip 1.4 GB

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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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[ FreeCourseWeb.com ] Bayesian Machine Learning in Python - A - B Testing (updated 8 - 2020).zip 2.1 GB

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【文档书籍】 Ghosh S. Bayesian statistical methods 2019

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Ghosh S. Bayesian statistical methods 2019.pdf 97.5 MB

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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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【影视】 [Tutorialsplanet.NET] Udemy - Bayesian Machine Learning in Python AB Testing

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

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

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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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【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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【影视】 [DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing

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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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【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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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
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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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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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