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

Torrent Hash:
20073C8BC68BABAA3055E28459B7B774903A005B
Number of Files:
125
Content Size:
2.36GB
Convert On:
2020-07-11
Magnet Link:
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File Name
Size
1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.mp4
6.78MB
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1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.srt
11.15MB
1. Introduction and Outline/2. Unsupervised or Supervised.mp4
5.27MB
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1. Introduction and Outline/2. Unsupervised or Supervised.srt
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1. Introduction and Outline/3. Where to get the Code and Data.mp4
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1. Introduction and Outline/3. Where to get the Code and Data.srt
1.91KB
1. Introduction and Outline/4. How to Succeed in this Course.mp4
3.3MB
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1. Introduction and Outline/4. How to Succeed in this Course.srt
4.22KB
10. Appendix FAQ/1. What is the Appendix.mp4
5.45MB
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10. Appendix FAQ/1. What is the Appendix.srt
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10. Appendix FAQ/10. What order should I take your courses in (part 1).mp4
29.32MB
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10. Appendix FAQ/10. What order should I take your courses in (part 1).srt
17.09KB
10. Appendix FAQ/11. What order should I take your courses in (part 2).mp4
37.62MB
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10. Appendix FAQ/11. What order should I take your courses in (part 2).srt
25.1KB
10. Appendix FAQ/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp4
37.83MB
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10. Appendix FAQ/12. BONUS Where to get Udemy coupons and FREE deep learning material.srt
8.24KB
10. Appendix FAQ/2. Windows-Focused Environment Setup 2018.mp4
186.33MB
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10. Appendix FAQ/2. Windows-Focused Environment Setup 2018.srt
6.09MB
10. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
43.92MB
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10. Appendix FAQ/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
43.93MB
10. Appendix FAQ/4. How to Code by Yourself (part 1).mp4
24.53MB
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10. Appendix FAQ/4. How to Code by Yourself (part 1).srt
24.3KB
10. Appendix FAQ/5. How to Code by Yourself (part 2).mp4
14.8MB
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10. Appendix FAQ/5. How to Code by Yourself (part 2).srt
14.05KB
10. Appendix FAQ/6. How to Succeed in this Course (Long Version).mp4
18.31MB
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10. Appendix FAQ/6. How to Succeed in this Course (Long Version).srt
15.47KB
10. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
38.96MB
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10. Appendix FAQ/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
33.92KB
10. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78.27MB
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10. Appendix FAQ/8. Proof that using Jupyter Notebook is the same as not using it.srt
78.3MB
10. Appendix FAQ/9. Python 2 vs Python 3.mp4
7.83MB
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10. Appendix FAQ/9. Python 2 vs Python 3.srt
6.65KB
2. Markov Models/1. The Markov Property.mp4
24.06MB
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6.96KB
2. Markov Models/2. Markov Models.mp4
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2. Markov Models/3. The Math of Markov Chains.mp4
23.94MB
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3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.mp4
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6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.mp4
14.95MB
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6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.srt
47.8MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp4
46.69MB
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13.06KB
6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).mp4
15.29MB
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6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).srt
15.29MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp4
45.41MB
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6. HMMs for Continuous Observations/5. Continuous HMM in Theano.srt
11.88KB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp4
22.46MB
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6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.srt
11.67KB
7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.mp4
4.13MB
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7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.srt
3.6KB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp4
24.4MB
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7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).srt
8.76KB
8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.mp4
8.51MB
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8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.srt
17.04MB
8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.mp4
14.38MB
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8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.srt
5.16KB
9. Basics Review/1. (Review) Gaussian Mixture Models.mp4
4.99MB
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9. Basics Review/1. (Review) Gaussian Mixture Models.srt
3.63MB
9. Basics Review/2. (Review) Theano Tutorial.mp4
19.86MB
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9. Basics Review/2. (Review) Theano Tutorial.srt
19.87MB
9. Basics Review/3. (Review) Tensorflow Tutorial.mp4
13.88MB
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9. Basics Review/3. (Review) Tensorflow Tutorial.srt
13.9MB
[Tutorialsplanet.NET].url
128B

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