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【影视】 [Tutorialsplanet.NET] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

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10. Setting Up Your Environment/1. Windows-Focused Environment Setup 2018.mp4 195.4 MB
11. 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. Hidden Markov Models for Discrete Observations/5. The Forward-Backward Algorithm (part 1).mp4 68.3 MB
4. Hidden Markov Models for Discrete Observations/12. HMM Training (part 3).mp4 63.1 MB
4. Hidden Markov Models for Discrete Observations/9. The Viterbi Algorithm (part 2).mp4 62.2 MB
4. Hidden Markov Models for Discrete Observations/13. HMM Training (part 4).mp4 58.3 MB
4. Hidden Markov Models for Discrete Observations/16. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Setting Up Your Environment/2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
4. Hidden Markov Models for Discrete Observations/2. HMM - Basic Examples.mp4 44.4 MB
4. Hidden Markov Models for Discrete Observations/11. HMM Training (part 2).mp4 41.9 MB
12/2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
13. Appendix FAQ/2. BONUS Where to get Udemy coupons and FREE deep learning material.mp4 39.7 MB
12/4. What order should I take your courses in (part 2).mp4 39.5 MB
4. Hidden Markov Models for Discrete Observations/14. How to Choose the Number of Hidden States.mp4 35.5 MB
2. Markov Models/2. Markov Models.mp4 34.1 MB
4. Hidden Markov Models for Discrete Observations/3. Parameters of an HMM.mp4 32.8 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
12/3. What order should I take your courses in (part 1).mp4 30.8 MB

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【影视】 Unsupervised

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unsupervised.s01e06.hdtv.xvid-fqm.avi 183.6 MB
Unsupervised.S01E05.HDTV.XviD-ASAP.avi 183.5 MB
Unsupervised.S01E02.HDTV.XviD-LOL.avi 183.4 MB
Unsupervised.S01E04.HDTV.XviD-LOL.avi 183.2 MB
Unsupervised.S01E03.HDTV.XviD-LOL.avi 183.1 MB
unsupervised.110.hdtv-lol.mp4 137.2 MB
unsupervised.108.hdtv-lol.mp4 131.1 MB
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【影视】 Cluster Analysis and Unsupervised Machine Learning in Python

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Chapter 7 Setting Up Your Environment (Appendix)/002. Anaconda Environment Setup.mp4 69.7 MB
Chapter 6 Gaussian Mixture Models (GMMs)/002. Write a Gaussian Mixture Model in Python Code.mp4 65.8 MB
Chapter 5 Hierarchical Clustering/005. Application Donald Trump vs. Hillary Clinton Tweets.mp4 52.8 MB
Chapter 7 Setting Up Your Environment (Appendix)/003. How to install Numpy, Scipy, Matplotlib, Pandas, and Tensorflow.mp4 51.5 MB
Chapter 4 K-Means Clustering/007. Hard K-Means Exercise 3 Solution.mp4 47.8 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/002. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 43.6 MB
Chapter 5 Hierarchical Clustering/004. Application Evolution.mp4 39.5 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/004. What order should I take your courses in (part 2).mp4 39.3 MB
Chapter 4 K-Means Clustering/021. K-Means Application Finding Clusters of Related Words.mp4 37.2 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/003. Proof that using Jupyter Notebook is the same as not using it.mp4 36.2 MB
Chapter 6 Gaussian Mixture Models (GMMs)/001. Gaussian Mixture Model (GMM) Algorithm.mp4 31.9 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/001. How to Code Yourself (part 1).mp4 31.0 MB
Chapter 8 Extra Help With Python Coding for Beginners (Appendix)/004. How to use Github & Extra Coding Tips (Optional).mp4 30.6 MB
Chapter 4 K-Means Clustering/003. Hard K-Means Exercise 1 Solution.mp4 30.6 MB
Chapter 4 K-Means Clustering/013. Soft K-Means in Python Code.mp4 30.4 MB
Chapter 4 K-Means Clustering/008. Hard K-Means Objective Theory.mp4 29.9 MB
Chapter 9 Effective Learning Strategies for Machine Learning (Appendix)/003. What order should I take your courses in (part 1).mp4 29.5 MB
Chapter 4 K-Means Clustering/002. Hard K-Means Exercise Prompt 1.mp4 25.9 MB
Chapter 6 Gaussian Mixture Models (GMMs)/008. Expectation-Maximization (pt 1).mp4 24.5 MB
Chapter 6 Gaussian Mixture Models (GMMs)/007. GMM vs Bayes Classifier (pt 2).mp4 23.2 MB

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【影视】 [GigaCourse.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

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10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

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【影视】 [FreeCourseSite.com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python

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10. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp4 49.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4 49.0 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4 47.6 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.9 MB
10. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp4 32.2 MB
10. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp4 30.6 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp4 27.2 MB
10. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4 25.6 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp4 24.9 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp4 24.2 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp4 23.9 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4 23.6 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp4 23.5 MB

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【影视】 K-Means for Cluster Analysis and Unsupervised Learning in R

收录时间:2021-05-20 文档个数:71 文档大小:1.1 GB 最近下载:2025-05-15 人气:759 磁力链接

[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/4. Unsupervised learning K-Means in R Theory & Practise/5. K-means clustering Application to email marketing.mp4 116.0 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/5. Advanced K-Means Clustering Analysis/1. Starting with Fuzzy K-means in R.mp4 107.1 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/7. Your Independent Project in K-Means CLuster Analysis/2. Project Assignment.mp4 71.6 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/5. Advanced K-Means Clustering Analysis/2. Entropy Weighted K-Means in R.mp4 64.9 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/5. Advanced K-Means Clustering Analysis/3. Selecting the number of clusters for unsupervised Clustering methods (K-Means).mp4 62.2 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/7. Your Independent Project in K-Means CLuster Analysis/1. Introduction to Your Project based on a case study.mp4 60.9 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/4. Lab data types and data structures in R.mp4 50.4 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/2. Software used in this course/3. Lab Get started with R in RStudio.mp4 50.0 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/1. Introduction/2. What is Machine Leraning and it's main types.mp4 49.1 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/6. Performance Evaluation of Unsupervised Learning CLustering Algorithms in R/1. How to assess a Clustering Tendency of the dataset.mp4 44.4 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/2. Software used in this course/2. How to install R and RStudio in 2020.mp4 40.6 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/6. Performance Evaluation of Unsupervised Learning CLustering Algorithms in R/2. Assessing the performance of unsupervised learning (clustering) algorithms.mp4 40.3 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/5. Vectors' operations in R.mp4 37.7 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/8. Functions in R - overview.mp4 33.8 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/7. Your Independent Project in K-Means CLuster Analysis/1.1 samsungData.rda 28.6 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/3. Overview of data types and data structures in R.mp4 28.5 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/6. Performance Evaluation of Unsupervised Learning CLustering Algorithms in R/3. How to compare the performance of different unsupervised clustering algoritms.mp4 28.5 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/9. Lab For Loops in R.mp4 26.0 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/4. Unsupervised learning K-Means in R Theory & Practise/6. Heatmaps to visualize K-Means Results in R Examplery Lab.mp4 25.9 MB
[TutsNode.com] - K-Means for Cluster Analysis and Unsupervised Learning in R/3. R Crash Course - get started with R-programming in R-Studio/1. Lab Installing Packages and Package Management in R.mp4 25.3 MB

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【影视】 [FreeCourseSite.com] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

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5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

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【影视】 [DesireCourse.Net] Udemy - Cluster Analysis and Unsupervised Machine Learning in Python

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5. Appendix/2. Windows-Focused Environment Setup 2018.mp4 195.4 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt 82.1 MB
5. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 82.1 MB
5. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 46.1 MB
5. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 40.8 MB
5. Appendix/11. What order should I take your courses in (part 2).mp4 39.5 MB
3. Hierarchical Clustering/5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 37.0 MB
2. K-Means Clustering/5. Soft K-Means in Python Code.mp4 31.7 MB
4. Gaussian Mixture Models (GMMs)/3. Write a Gaussian Mixture Model in Python Code.mp4 31.6 MB
5. Appendix/10. What order should I take your courses in (part 1).mp4 30.8 MB
3. Hierarchical Clustering/4. Application Evolution.mp4 27.7 MB
2. K-Means Clustering/12. K-Means Application Finding Clusters of Related Words.mp4 27.2 MB
2. K-Means Clustering/3. Soft K-Means.mp4 26.5 MB
5. Appendix/4. How to Code by Yourself (part 1).mp4 25.7 MB
5. Appendix/6. How to Succeed in this Course (Long Version).mp4 19.2 MB
2. K-Means Clustering/7. Examples of where K-Means can fail.mp4 17.8 MB
5. Appendix/5. How to Code by Yourself (part 2).mp4 15.5 MB
2. K-Means Clustering/1. An Easy Introduction to K-Means Clustering.mp4 13.2 MB
3. Hierarchical Clustering/3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 12.4 MB
2. K-Means Clustering/9. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 11.9 MB

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【影视】 Packt Mastering Unsupervised Learning with Python

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03.Manifold and Deep Learning for High-Dimensional Data/0304.Manifold Learning in Practice – Part 2.mp4 82.3 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0102.Alternatives to K-Means Clustering – Part 1.mp4 35.9 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0103.Alternatives to K-Means Clustering – Part 2.mp4 30.4 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0104.Agglomerative Clustering Finding Natural Hierarchies – Part 1.mp4 51.6 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0105.Agglomerative Clustering Finding Natural Hierarchies –Part 2.mp4 46.3 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0106.Density-Based Clustering DBSCAN and HDBSCAN – Part 1.mp4 39.5 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0107.Density-Based Clustering DBSCAN and HDBSCAN – Part 2.mp4 22.6 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0108.Gaussian Mixture Models.mp4 44.0 MB
02.Topic Modeling Semantic Content Recommendations/0201.Topic Modeling Overview – Part 1.mp4 36.1 MB
02.Topic Modeling Semantic Content Recommendations/0202.Topic Modeling Overview – Part 2.mp4 45.5 MB
02.Topic Modeling Semantic Content Recommendations/0203.Topic Modeling Preparing Your Data – Part 1.mp4 27.9 MB
02.Topic Modeling Semantic Content Recommendations/0204.Topic Modeling Preparing Your Data – Part 2.mp4 28.3 MB
02.Topic Modeling Semantic Content Recommendations/0205.Topic Modeling Running the Models – Part 1.mp4 29.7 MB
02.Topic Modeling Semantic Content Recommendations/0206.Topic Modeling Running the Models – Part 2.mp4 33.8 MB
02.Topic Modeling Semantic Content Recommendations/0207.Topic Modeling Evaluating and Visualizing Results.mp4 31.5 MB
03.Manifold and Deep Learning for High-Dimensional Data/0301.Manifold Learning Introduction – Part 1.mp4 27.3 MB
03.Manifold and Deep Learning for High-Dimensional Data/0302.Manifold Learning Introduction – Part 2.mp4 23.6 MB
03.Manifold and Deep Learning for High-Dimensional Data/0303.Manifold Learning in Practice – Part 1.mp4 27.7 MB
01.Advanced Clustering Methods Selecting the Best Algorithm/0101.The Course Overview.mp4 284 Bytes
03.Manifold and Deep Learning for High-Dimensional Data/0305.Visualize High-Dimensional Data t-SNE and UMAP – Part 1.mp4 29.8 MB

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TUTSEM.COM.txt 317 Bytes
01 Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4 7.1 MB
01 Introduction and Outline/002 Unsupervised or Supervised.mp4 5.5 MB
01 Introduction and Outline/003 Where to get the Code and Data.mp4 2.2 MB
01 Introduction and Outline/004 How to Succeed in this Course.mp4 9.2 MB
02 Markov Models/005 The Markov Property.mp4 8.7 MB
02 Markov Models/006 Markov Models.mp4 8.6 MB
02 Markov Models/007 The Math of Markov Chains.mp4 9.5 MB
03 Markov Models Example Problems and Applications/008 Example Problem Sick or Healthy.mp4 5.8 MB
03 Markov Models Example Problems and Applications/009 Example Problem Expected number of continuously sick days.mp4 4.9 MB
03 Markov Models Example Problems and Applications/010 Example application SEO and Bounce Rate Optimization.mp4 16.6 MB
03 Markov Models Example Problems and Applications/011 Example Application Build a 2nd-order language model and generate phrases.mp4 28.2 MB
03 Markov Models Example Problems and Applications/012 Example Application Googles PageRank algorithm.mp4 9.1 MB
04 Hidden Markov Models for Discrete Observations/013 From Markov Models to Hidden Markov Models.mp4 10.7 MB
04 Hidden Markov Models for Discrete Observations/014 HMMs are Doubly Embedded.mp4 3.3 MB
04 Hidden Markov Models for Discrete Observations/015 How can we choose the number of hidden states.mp4 7.7 MB
04 Hidden Markov Models for Discrete Observations/016 The Forward-Backward Algorithm.mp4 7.1 MB
04 Hidden Markov Models for Discrete Observations/017 Visual Intuition for the Forward Algorithm.mp4 6.3 MB
04 Hidden Markov Models for Discrete Observations/018 The Viterbi Algorithm.mp4 5.3 MB

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