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Udemy - Unsupervised Machine Learning Hidden Markov Models in Python (11.2023)
大小 1.91 GB
文件数 132
Info Hash: E9CD6AB2F8D7CE194DB3DBC118EB210270D51E33
收录时间 2026-02-21 01:43:30
更新时间 2026-02-21 01:43:30
文件列表 (132)
01 - Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.mp4
34.15 MB
01 - Introduction and Outline/001 Introduction and Outline Why would you want to use an HMM.srt
6.46 KB
01 - Introduction and Outline/002 Github-Link.url
105 B
01 - Introduction and Outline/002 Where to get the Code and Data.mp4
73.24 MB
01 - Introduction and Outline/002 Where to get the Code and Data.srt
16.94 KB
01 - Introduction and Outline/003 How to Succeed in this Course.mp4
16.22 MB
01 - Introduction and Outline/003 How to Succeed in this Course.srt
4.43 KB
01 - Introduction and Outline/external-links.txt
102 B
02 - Markov Models/001 The Markov Property.mp4
32.25 MB
02 - Markov Models/001 The Markov Property.srt
9.44 KB
02 - Markov Models/002 Markov Models.mp4
45.85 MB
02 - Markov Models/002 Markov Models.srt
16.5 KB
02 - Markov Models/003 Probability Smoothing and Log-Space.mp4
34.04 MB
02 - Markov Models/003 Probability Smoothing and Log-Space.srt
10.3 KB
02 - Markov Models/004 The Math of Markov Chains.mp4
58.93 MB
02 - Markov Models/004 The Math of Markov Chains.srt
19.35 KB
03 - Markov Models Example Problems and Applications/001 Example Problem Sick or Healthy.mp4
5.14 MB
03 - Markov Models Example Problems and Applications/001 Example Problem Sick or Healthy.srt
4.64 KB
03 - Markov Models Example Problems and Applications/002 Example Problem Expected number of continuously sick days.mp4
4.3 MB
03 - Markov Models Example Problems and Applications/002 Example Problem Expected number of continuously sick days.srt
3.56 KB
03 - Markov Models Example Problems and Applications/003 Example application SEO and Bounce Rate Optimization.mp4
29.73 MB
03 - Markov Models Example Problems and Applications/003 Example application SEO and Bounce Rate Optimization.srt
10.21 KB
03 - Markov Models Example Problems and Applications/004 Example Application Build a 2nd-order language model and generate phrases.mp4
29.61 MB
03 - Markov Models Example Problems and Applications/004 Example Application Build a 2nd-order language model and generate phrases.srt
13.35 KB
03 - Markov Models Example Problems and Applications/005 Example Application Google’s PageRank algorithm.mp4
12.35 MB
03 - Markov Models Example Problems and Applications/005 Example Application Google’s PageRank algorithm.srt
7 KB
03 - Markov Models Example Problems and Applications/006 Suggestion Box.mp4
27.17 MB
03 - Markov Models Example Problems and Applications/006 Suggestion Box.srt
4.75 KB
04 - Hidden Markov Models for Discrete Observations/001 From Markov Models to Hidden Markov Models.mp4
11.59 MB
04 - Hidden Markov Models for Discrete Observations/001 From Markov Models to Hidden Markov Models.srt
8.47 KB
04 - Hidden Markov Models for Discrete Observations/002 HMM - Basic Examples.mp4
15.04 MB
04 - Hidden Markov Models for Discrete Observations/002 HMM - Basic Examples.srt
10.24 KB
04 - Hidden Markov Models for Discrete Observations/003 Parameters of an HMM.mp4
12.68 MB
04 - Hidden Markov Models for Discrete Observations/003 Parameters of an HMM.srt
9.1 KB
04 - Hidden Markov Models for Discrete Observations/004 The 3 Problems of an HMM.mp4
10.29 MB
04 - Hidden Markov Models for Discrete Observations/004 The 3 Problems of an HMM.srt
7.55 KB
04 - Hidden Markov Models for Discrete Observations/005 The Forward-Backward Algorithm (part 1).mp4
26.01 MB
04 - Hidden Markov Models for Discrete Observations/005 The Forward-Backward Algorithm (part 1).srt
19.96 KB
04 - Hidden Markov Models for Discrete Observations/006 The Forward-Backward Algorithm (part 2).mp4
11.28 MB
04 - Hidden Markov Models for Discrete Observations/006 The Forward-Backward Algorithm (part 2).srt
8.51 KB
04 - Hidden Markov Models for Discrete Observations/007 The Forward-Backward Algorithm (part 3).mp4
12.06 MB
04 - Hidden Markov Models for Discrete Observations/007 The Forward-Backward Algorithm (part 3).srt
9.06 KB
04 - Hidden Markov Models for Discrete Observations/008 The Viterbi Algorithm (part 1).mp4
10.5 MB
04 - Hidden Markov Models for Discrete Observations/008 The Viterbi Algorithm (part 1).srt
7.3 KB
04 - Hidden Markov Models for Discrete Observations/009 The Viterbi Algorithm (part 2).mp4
24.01 MB
04 - Hidden Markov Models for Discrete Observations/009 The Viterbi Algorithm (part 2).srt
18.13 KB
04 - Hidden Markov Models for Discrete Observations/010 HMM Training (part 1).mp4
8.07 MB
04 - Hidden Markov Models for Discrete Observations/010 HMM Training (part 1).srt
5.58 KB
04 - Hidden Markov Models for Discrete Observations/011 HMM Training (part 2).mp4
15.92 MB
04 - Hidden Markov Models for Discrete Observations/011 HMM Training (part 2).srt
11.63 KB
04 - Hidden Markov Models for Discrete Observations/012 HMM Training (part 3).mp4
27.29 MB
04 - Hidden Markov Models for Discrete Observations/012 HMM Training (part 3).srt
16.1 KB
04 - Hidden Markov Models for Discrete Observations/013 HMM Training (part 4).mp4
21.84 MB
04 - Hidden Markov Models for Discrete Observations/013 HMM Training (part 4).srt
13.8 KB
04 - Hidden Markov Models for Discrete Observations/014 How to Choose the Number of Hidden States.mp4
13.32 MB
04 - Hidden Markov Models for Discrete Observations/014 How to Choose the Number of Hidden States.srt
9.25 KB
04 - Hidden Markov Models for Discrete Observations/015 Baum-Welch Updates for Multiple Observations.mp4
8.91 MB
04 - Hidden Markov Models for Discrete Observations/015 Baum-Welch Updates for Multiple Observations.srt
5.9 KB
04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.mp4
69.48 MB
04 - Hidden Markov Models for Discrete Observations/016 Discrete HMM in Code.srt
14.72 KB
04 - Hidden Markov Models for Discrete Observations/017 The underflow problem and how to solve it.mp4
9.47 MB
04 - Hidden Markov Models for Discrete Observations/017 The underflow problem and how to solve it.srt
6.52 KB
04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.mp4
34.28 MB
04 - Hidden Markov Models for Discrete Observations/018 Discrete HMM Updates in Code with Scaling.srt
8.55 KB
04 - Hidden Markov Models for Discrete Observations/019 Scaled Viterbi Algorithm in Log Space.mp4
10.93 MB
04 - Hidden Markov Models for Discrete Observations/019 Scaled Viterbi Algorithm in Log Space.srt
2.62 KB
05 - Discrete HMMs Using Deep Learning Libraries/001 Gradient Descent Tutorial.mp4
15.19 MB
05 - Discrete HMMs Using Deep Learning Libraries/001 Gradient Descent Tutorial.srt
5.47 KB
05 - Discrete HMMs Using Deep Learning Libraries/002 Theano Scan Tutorial.mp4
33.63 MB
05 - Discrete HMMs Using Deep Learning Libraries/002 Theano Scan Tutorial.srt
12.22 KB
05 - Discrete HMMs Using Deep Learning Libraries/003 Discrete HMM in Theano.mp4
33.69 MB
05 - Discrete HMMs Using Deep Learning Libraries/003 Discrete HMM in Theano.srt
8.04 KB
05 - Discrete HMMs Using Deep Learning Libraries/004 Improving our Gradient Descent-Based HMM.mp4
10.08 MB
05 - Discrete HMMs Using Deep Learning Libraries/004 Improving our Gradient Descent-Based HMM.srt
6.31 KB
05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.mp4
41.48 MB
05 - Discrete HMMs Using Deep Learning Libraries/005 Tensorflow Scan Tutorial.srt
15.03 KB
05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.mp4
50.58 MB
05 - Discrete HMMs Using Deep Learning Libraries/006 Discrete HMM in Tensorflow.srt
8.8 KB
06 - HMMs for Continuous Observations/001 Gaussian Mixture Models with Hidden Markov Models.mp4
7.18 MB
06 - HMMs for Continuous Observations/001 Gaussian Mixture Models with Hidden Markov Models.srt
5.3 KB
06 - HMMs for Continuous Observations/002 Generating Data from a Real-Valued HMM.mp4
20.95 MB
06 - HMMs for Continuous Observations/002 Generating Data from a Real-Valued HMM.srt
4.35 KB
06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).mp4
54.3 MB
06 - HMMs for Continuous Observations/003 Continuous-Observation HMM in Code (part 1).srt
12.44 KB
06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).mp4
41.68 MB
06 - HMMs for Continuous Observations/004 Continuous-Observation HMM in Code (part 2).srt
3.18 KB
06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.mp4
64.28 MB
06 - HMMs for Continuous Observations/005 Continuous HMM in Theano.srt
11.37 KB
06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.mp4
65.25 MB
06 - HMMs for Continuous Observations/006 Continuous HMM in Tensorflow.srt
10.71 KB
07 - HMMs for Classification/001 Unsupervised or Supervised.mp4
6.72 MB
07 - HMMs for Classification/001 Unsupervised or Supervised.srt
3.89 KB
07 - HMMs for Classification/002 Generative vs. Discriminative Classifiers.mp4
5.31 MB
07 - HMMs for Classification/002 Generative vs. Discriminative Classifiers.srt
3.47 KB
07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4
34.72 MB
07 - HMMs for Classification/003 HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt
8.4 KB
08 - Bonus Example Parts-of-Speech Tagging/001 Parts-of-Speech Tagging Concepts.mp4
9.69 MB
08 - Bonus Example Parts-of-Speech Tagging/001 Parts-of-Speech Tagging Concepts.srt
6.78 KB
08 - Bonus Example Parts-of-Speech Tagging/002 POS Tagging with an HMM.mp4
15.38 MB
08 - Bonus Example Parts-of-Speech Tagging/002 POS Tagging with an HMM.srt
4.93 KB
09 - Theano, Tensorflow, and Machine Learning Basics Review/001 (Review) Gaussian Mixture Models.mp4
4.64 MB
09 - Theano, Tensorflow, and Machine Learning Basics Review/001 (Review) Gaussian Mixture Models.srt
3.54 KB
09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.mp4
40.74 MB
09 - Theano, Tensorflow, and Machine Learning Basics Review/002 (Review) Theano Tutorial.srt
7.29 KB
09 - Theano, Tensorflow, and Machine Learning Basics Review/003 (Review) Tensorflow Tutorial.mp4
23.33 MB
09 - Theano, Tensorflow, and Machine Learning Basics Review/003 (Review) Tensorflow Tutorial.srt
5.97 KB
10 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.mp4
8.92 MB
10 - Setting Up Your Environment (FAQ by Student Request)/001 Pre-Installation Check.srt
6.6 KB
10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.mp4
168.03 MB
10 - Setting Up Your Environment (FAQ by Student Request)/002 Anaconda Environment Setup.srt
19.76 KB
10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
109.17 MB
10 - Setting Up Your Environment (FAQ by Student Request)/003 How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
14.22 KB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).mp4
56.12 MB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/001 How to Code by Yourself (part 1).srt
22.53 KB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).mp4
20.87 MB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/002 How to Code by Yourself (part 2).srt
13.25 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.mp4
37.08 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.srt
14.05 KB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.mp4
7.61 MB
11 - Extra Help With Python Coding for Beginners (FAQ by Student Request)/004 Python 2 vs Python 3.srt
6.05 KB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).mp4
17.87 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/001 How to Succeed in this Course (Long Version).srt
14.71 KB
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
42.45 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
31.86 KB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
27.51 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/003 Machine Learning and AI Prerequisite Roadmap (pt 1).srt
16.65 KB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
81.2 MB
12 - Effective Learning Strategies for Machine Learning (FAQ by Student Request)/004 Machine Learning and AI Prerequisite Roadmap (pt 2).srt
23.54 KB
13 - Appendix FAQ Finale/001 What is the Appendix.mp4
6.15 MB
13 - Appendix FAQ Finale/001 What is the Appendix.srt
3.8 KB
13 - Appendix FAQ Finale/002 BONUS.mp4
39.93 MB
13 - Appendix FAQ Finale/002 BONUS.srt
7.82 KB
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