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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
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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
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- 【影视】 [CourseClub.Me] Coursera – Bayesian Statistics Specialization
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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
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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
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- 【文档书籍】 Gatsonis C. Case Studies in Bayesian Statistics Vol III 1997
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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 1993.pdf 35.4 MB
Readme.txt 957 Bytes
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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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- 【其他】 Everything Is Predictable- How Bayesian Statistics Explain Our World [2024]
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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/68 - Anaconda Environment Setup.mp4 323.2 MB
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4 - Traditional AB Testing/33 - ZTest Code pt 1.mp4 87.4 MB
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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
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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
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8 - Setting Up Your Environment FAQ by Student Request/68 - Anaconda Environment Setup.mp4 323.2 MB
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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
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8 - Setting Up Your Environment FAQ by Student Request/68 - Anaconda Environment Setup.mp4 323.2 MB
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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
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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
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mixture-models/04_applications-of-mixture-models/02_clustering/01_mixture-models-for-clustering.mp4 112.9 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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- 【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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[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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- 【影视】 [DesireCourse.Net] Udemy - Bayesian Machine Learning in Python AB Testing
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收录时间:2022-03-15
文档个数:117
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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】 [Tutorialsplanet.NET] Udemy - Machine Learning, Deep Learning and Bayesian Learning
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收录时间:2022-03-12
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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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