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Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (11.2023)
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Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (11.2023)
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2025-07-09
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2025-08-09
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文件列表
10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.mp4
176.2 MB
10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
114.5 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
85.1 MB
01 - Introduction and Outline/002 Where to get the Code and Data.mp4
76.8 MB
04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.mp4
72.9 MB
06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.mp4
68.4 MB
06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.mp4
67.4 MB
02 - Markov Models/004 The Math of Markov Chains.mp4
61.8 MB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4
58.8 MB
06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).mp4
56.9 MB
05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.mp4
53.0 MB
02 - Markov Models/002 Markov Models.mp4
48.1 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
44.5 MB
06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).mp4
43.7 MB
05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.mp4
43.5 MB
09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.mp4
42.7 MB
13 - Appendix FAQ Finale/002 BONUS.mp4
41.9 MB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.mp4
38.9 MB
07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4
36.4 MB
04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.mp4
35.9 MB
01 - Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4
35.8 MB
02 - Markov Models/003 Probability Smoothing and Log-Space.mp4
35.7 MB
05 - Discrete HMMs Using Deep Learning Libraries/003 Discrete HMM in Theano.mp4
35.3 MB
05 - Discrete HMMs Using Deep Learning Libraries/002 Theano Scan Tutorial.mp4
35.3 MB
02 - Markov Models/001 The Markov Property.mp4
33.8 MB
03 - Markov Models Example Problems and Applications/003 Example application SEO and Bounce Rate Optimization.mp4
31.2 MB
03 - Markov Models Example Problems and Applications/004 Example Application Build a 2nd-order language model and generate phrases.mp4
31.1 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
28.8 MB
04 - Hidden Markov Models for Discrete Observations/012 HMM Training (part 3).mp4
28.6 MB
03 - Markov Models Example Problems and Applications/006 Suggestion Box.mp4
28.5 MB
04 - Hidden Markov Models for Discrete Observations/005 The Forward-Backward Algorithm (part 1).mp4
27.3 MB
04 - Hidden Markov Models for Discrete Observations/009 The Viterbi Algorithm (part 2).mp4
25.2 MB
09 - Theano, Tensorflow, and Machine Learning Basics Review/003 (Review) Tensorflow Tutorial.mp4
24.5 MB
04 - Hidden Markov Models for Discrete Observations/013 HMM Training (part 4).mp4
22.9 MB
06 - HMMs for Continuous Observations/002 Generating Data from a Real-Valued HMM.mp4
22.0 MB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).mp4
21.9 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).mp4
18.7 MB
01 - Introduction and Outline/003 How to Succeed in this Course.mp4
17.0 MB
04 - Hidden Markov Models for Discrete Observations/011 HMM Training (part 2).mp4
16.7 MB
08 - Bonus Example Parts-of-Speech Tagging/002 POS Tagging with an HMM.mp4
16.1 MB
05 - Discrete HMMs Using Deep Learning Libraries/001 Gradient Descent Tutorial.mp4
15.9 MB
04 - Hidden Markov Models for Discrete Observations/002 HMM - Basic Examples.mp4
15.8 MB
04 - Hidden Markov Models for Discrete Observations/014 How to Choose the Number of Hidden States.mp4
14.0 MB
04 - Hidden Markov Models for Discrete Observations/003 Parameters of an HMM.mp4
13.3 MB
03 - Markov Models Example Problems and Applications/005 Example Application Google’s PageRank algorithm.mp4
12.9 MB
04 - Hidden Markov Models for Discrete Observations/007 The Forward-Backward Algorithm (part 3).mp4
12.6 MB
04 - Hidden Markov Models for Discrete Observations/001 From Markov Models to Hidden Markov Models.mp4
12.1 MB
04 - Hidden Markov Models for Discrete Observations/006 The Forward-Backward Algorithm (part 2).mp4
11.8 MB
04 - Hidden Markov Models for Discrete Observations/019 Scaled Viterbi Algorithm in Log Space.mp4
11.5 MB
04 - Hidden Markov Models for Discrete Observations/008 The Viterbi Algorithm (part 1).mp4
11.0 MB
04 - Hidden Markov Models for Discrete Observations/004 The 3 Problems of an HMM.mp4
10.8 MB
05 - Discrete HMMs Using Deep Learning Libraries/004 Improving our Gradient Descent-Based HMM.mp4
10.6 MB
08 - Bonus Example Parts-of-Speech Tagging/001 Parts-of-Speech Tagging Concepts.mp4
10.2 MB
04 - Hidden Markov Models for Discrete Observations/017 The underflow problem and how to solve it.mp4
9.9 MB
10 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.mp4
9.4 MB
04 - Hidden Markov Models for Discrete Observations/015 Baum-Welch Updates for Multiple Observations.mp4
9.3 MB
04 - Hidden Markov Models for Discrete Observations/010 HMM Training (part 1).mp4
8.5 MB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.mp4
8.0 MB
06 - HMMs for Continuous Observations/001 Gaussian Mixture Models with Hidden Markov Models.mp4
7.5 MB
07 - HMMs for Classification/001 Unsupervised or Supervised.mp4
7.0 MB
13 - Appendix FAQ Finale/001 What is the Appendix.mp4
6.4 MB
07 - HMMs for Classification/002 Generative vs. Discriminative Classifiers.mp4
5.6 MB
03 - Markov Models Example Problems and Applications/001 Example Problem Sick or Healthy.mp4
5.4 MB
09 - Theano, Tensorflow, and Machine Learning Basics Review/001 (Review) Gaussian Mixture Models.mp4
4.9 MB
03 - Markov Models Example Problems and Applications/002 Example Problem Expected number of continuously sick days.mp4
4.5 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/002 Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
32.6 kB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).srt
24.1 kB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).srt
23.1 kB
04 - Hidden Markov Models for Discrete Observations/005 The Forward-Backward Algorithm (part 1).srt
20.4 kB
10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.srt
20.2 kB
02 - Markov Models/004 The Math of Markov Chains.srt
19.8 kB
04 - Hidden Markov Models for Discrete Observations/009 The Viterbi Algorithm (part 2).srt
18.6 kB
01 - Introduction and Outline/002 Where to get the Code and Data.srt
17.3 kB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).srt
17.0 kB
02 - Markov Models/002 Markov Models.srt
16.9 kB
04 - Hidden Markov Models for Discrete Observations/012 HMM Training (part 3).srt
16.5 kB
05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.srt
15.4 kB
04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.srt
15.1 kB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).srt
15.1 kB
10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14.6 kB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/003 Proof that using Jupyter Notebook is the same as not using it.srt
14.4 kB
04 - Hidden Markov Models for Discrete Observations/013 HMM Training (part 4).srt
14.1 kB
03 - Markov Models Example Problems and Applications/004 Example Application Build a 2nd-order language model and generate phrases.srt
13.7 kB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).srt
13.6 kB
06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).srt
12.7 kB
05 - Discrete HMMs Using Deep Learning Libraries/002 Theano Scan Tutorial.srt
12.5 kB
04 - Hidden Markov Models for Discrete Observations/011 HMM Training (part 2).srt
11.9 kB
06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.srt
11.6 kB
06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.srt
11.0 kB
02 - Markov Models/003 Probability Smoothing and Log-Space.srt
10.5 kB
04 - Hidden Markov Models for Discrete Observations/002 HMM - Basic Examples.srt
10.5 kB
03 - Markov Models Example Problems and Applications/003 Example application SEO and Bounce Rate Optimization.srt
10.5 kB
02 - Markov Models/001 The Markov Property.srt
9.7 kB
04 - Hidden Markov Models for Discrete Observations/014 How to Choose the Number of Hidden States.srt
9.5 kB
04 - Hidden Markov Models for Discrete Observations/003 Parameters of an HMM.srt
9.3 kB
04 - Hidden Markov Models for Discrete Observations/007 The Forward-Backward Algorithm (part 3).srt
9.3 kB
05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.srt
9.0 kB
04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.srt
8.8 kB
04 - Hidden Markov Models for Discrete Observations/006 The Forward-Backward Algorithm (part 2).srt
8.7 kB
04 - Hidden Markov Models for Discrete Observations/001 From Markov Models to Hidden Markov Models.srt
8.7 kB
07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt
8.6 kB
05 - Discrete HMMs Using Deep Learning Libraries/003 Discrete HMM in Theano.srt
8.2 kB
13 - Appendix FAQ Finale/002 BONUS.srt
8.0 kB
04 - Hidden Markov Models for Discrete Observations/004 The 3 Problems of an HMM.srt
7.7 kB
04 - Hidden Markov Models for Discrete Observations/008 The Viterbi Algorithm (part 1).srt
7.5 kB
09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.srt
7.5 kB
03 - Markov Models Example Problems and Applications/005 Example Application Google’s PageRank algorithm.srt
7.2 kB
08 - Bonus Example Parts-of-Speech Tagging/001 Parts-of-Speech Tagging Concepts.srt
6.9 kB
10 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.srt
6.8 kB
04 - Hidden Markov Models for Discrete Observations/017 The underflow problem and how to solve it.srt
6.7 kB
01 - Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.srt
6.6 kB
05 - Discrete HMMs Using Deep Learning Libraries/004 Improving our Gradient Descent-Based HMM.srt
6.5 kB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.srt
6.2 kB
09 - Theano, Tensorflow, and Machine Learning Basics Review/003 (Review) Tensorflow Tutorial.srt
6.1 kB
04 - Hidden Markov Models for Discrete Observations/015 Baum-Welch Updates for Multiple Observations.srt
6.0 kB
04 - Hidden Markov Models for Discrete Observations/010 HMM Training (part 1).srt
5.7 kB
05 - Discrete HMMs Using Deep Learning Libraries/001 Gradient Descent Tutorial.srt
5.6 kB
06 - HMMs for Continuous Observations/001 Gaussian Mixture Models with Hidden Markov Models.srt
5.4 kB
08 - Bonus Example Parts-of-Speech Tagging/002 POS Tagging with an HMM.srt
5.1 kB
03 - Markov Models Example Problems and Applications/006 Suggestion Box.srt
4.9 kB
03 - Markov Models Example Problems and Applications/001 Example Problem Sick or Healthy.srt
4.8 kB
01 - Introduction and Outline/003 How to Succeed in this Course.srt
4.5 kB
06 - HMMs for Continuous Observations/002 Generating Data from a Real-Valued HMM.srt
4.5 kB
07 - HMMs for Classification/001 Unsupervised or Supervised.srt
4.0 kB
13 - Appendix FAQ Finale/001 What is the Appendix.srt
3.9 kB
03 - Markov Models Example Problems and Applications/002 Example Problem Expected number of continuously sick days.srt
3.6 kB
09 - Theano, Tensorflow, and Machine Learning Basics Review/001 (Review) Gaussian Mixture Models.srt
3.6 kB
07 - HMMs for Classification/002 Generative vs. Discriminative Classifiers.srt
3.6 kB
06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).srt
3.3 kB
04 - Hidden Markov Models for Discrete Observations/019 Scaled Viterbi Algorithm in Log Space.srt
2.7 kB
01 - Introduction and Outline/002 Github-Link.url
105 Bytes
01 - Introduction and Outline/external-links.txt
102 Bytes
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