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Udemy - Unsupervised Machine Learning Hidden Markov Models in Python [FCS]

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Added Friday 2nd June 2023 12:22:13 PM (3 years ago)
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Torrent Files (116)
FilenameSize
1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.mp46.8 MB
1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.vtt5.4 KB
1. Introduction and Outline/2. Unsupervised or Supervised.mp45.3 MB
1. Introduction and Outline/2. Unsupervised or Supervised.vtt3.7 KB
1. Introduction and Outline/3. Where to get the Code and Data.mp42.1 MB
1. Introduction and Outline/3. Where to get the Code and Data.vtt1.7 KB
1. Introduction and Outline/4. How to Succeed in this Course.mp43.3 MB
1. Introduction and Outline/4. How to Succeed in this Course.vtt3.7 KB
10. Appendix/1. What is the Appendix.mp45.5 MB
10. Appendix/1. What is the Appendix.vtt3.4 KB
10. Appendix/10. What order should I take your courses in (part 1).mp429.3 MB
10. Appendix/10. What order should I take your courses in (part 1).vtt15.2 KB
10. Appendix/11. What order should I take your courses in (part 2).mp437.6 MB
10. Appendix/11. What order should I take your courses in (part 2).vtt22.3 KB
10. Appendix/12. BONUS Where to get Udemy coupons and FREE deep learning material.mp44.0 MB
10. Appendix/12. BONUS Where to get Udemy coupons and FREE deep learning material.vtt3.3 KB
10. Appendix/2. Windows-Focused Environment Setup 2018.mp4186.3 MB
10. Appendix/2. Windows-Focused Environment Setup 2018.vtt18.7 KB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.9 MB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt13.4 KB
10. Appendix/4. How to Code by Yourself (part 1).mp424.5 MB
10. Appendix/4. How to Code by Yourself (part 1).vtt21.3 KB
10. Appendix/5. How to Code by Yourself (part 2).mp414.8 MB
10. Appendix/5. How to Code by Yourself (part 2).vtt12.4 KB
10. Appendix/6. How to Succeed in this Course (Long Version).mp418.3 MB
10. Appendix/6. How to Succeed in this Course (Long Version).vtt13.7 KB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp439.0 MB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt29.9 KB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp478.3 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt13.2 KB
10. Appendix/9. Python 2 vs Python 3.mp47.8 MB
10. Appendix/9. Python 2 vs Python 3.vtt5.9 KB
2. Markov Models/1. The Markov Property.mp48.3 MB
2. Markov Models/1. The Markov Property.vtt6.2 KB
2. Markov Models/2. Markov Models.mp48.2 MB
2. Markov Models/2. Markov Models.vtt5.9 KB
2. Markov Models/3. The Math of Markov Chains.mp49.0 MB
2. Markov Models/3. The Math of Markov Chains.vtt6.7 KB
3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.mp45.5 MB
3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.vtt4.3 KB
3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.mp44.6 MB
3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.vtt3.3 KB
3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.mp415.8 MB
3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.vtt9.5 KB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp426.9 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.vtt12.3 KB
3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.mp48.7 MB
3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.vtt6.5 KB
4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.mp410.2 MB
4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.vtt7.9 KB
4. Hidden Markov Models for Discrete Observations/10. Baum-Welch Updates for Multiple Observations.mp47.5 MB
4. Hidden Markov Models for Discrete Observations/10. Baum-Welch Updates for Multiple Observations.vtt5.6 KB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.mp447.4 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.vtt13.5 KB
4. Hidden Markov Models for Discrete Observations/12. The underflow problem and how to solve it.mp47.7 MB
4. Hidden Markov Models for Discrete Observations/12. The underflow problem and how to solve it.vtt6.1 KB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp429.1 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.vtt7.8 KB
4. Hidden Markov Models for Discrete Observations/14. Scaled Viterbi Algorithm in Log Space.mp49.2 MB
4. Hidden Markov Models for Discrete Observations/14. Scaled Viterbi Algorithm in Log Space.vtt2.4 KB
4. Hidden Markov Models for Discrete Observations/2. HMMs are Doubly Embedded.mp41.5 MB
4. Hidden Markov Models for Discrete Observations/2. HMMs are Doubly Embedded.vtt2.6 KB
4. Hidden Markov Models for Discrete Observations/3. How can we choose the number of hidden states.mp47.3 MB
4. Hidden Markov Models for Discrete Observations/3. How can we choose the number of hidden states.vtt5.6 KB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp422.4 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.vtt5.2 KB
4. Hidden Markov Models for Discrete Observations/5. Visual Intuition for the Forward Algorithm.mp46.0 MB
4. Hidden Markov Models for Discrete Observations/5. Visual Intuition for the Forward Algorithm.vtt4.5 KB
4. Hidden Markov Models for Discrete Observations/6. The Viterbi Algorithm.mp45.0 MB
4. Hidden Markov Models for Discrete Observations/6. The Viterbi Algorithm.vtt3.5 KB
4. Hidden Markov Models for Discrete Observations/7. Visual Intuition for the Viterbi Algorithm.mp415.7 MB
4. Hidden Markov Models for Discrete Observations/7. Visual Intuition for the Viterbi Algorithm.vtt3.9 KB
4. Hidden Markov Models for Discrete Observations/8. The Baum-Welch Algorithm.mp44.3 MB
4. Hidden Markov Models for Discrete Observations/8. The Baum-Welch Algorithm.vtt3.0 KB
4. Hidden Markov Models for Discrete Observations/9. Baum-Welch Explanation and Intuition.mp412.0 MB
4. Hidden Markov Models for Discrete Observations/9. Baum-Welch Explanation and Intuition.vtt8.1 KB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp422.8 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.vtt5.2 KB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp423.8 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.vtt11.3 KB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp430.7 MB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.vtt7.4 KB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.mp425.9 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.vtt5.9 KB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp423.1 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.vtt14.0 KB
5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.mp416.4 MB
5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.vtt8.4 KB
6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.mp416.5 MB
6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.vtt4.9 KB
6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.mp414.9 MB
6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.vtt4.0 KB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp446.7 MB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).vtt11.3 KB
6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).mp415.3 MB
6. HMMs for Continuous Observations/4. Continuous-Observation HMM in Code (part 2).vtt2.9 KB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.mp445.4 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.vtt10.4 KB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp422.5 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.vtt10.4 KB
7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.mp44.1 MB
7. HMMs for Classification/1. Generative vs. Discriminative Classifiers.vtt3.3 KB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).mp424.4 MB
7. HMMs for Classification/2. HMM Classification on Poetry Data (Robert Frost vs. Edgar Allan Poe).vtt7.8 KB
8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.mp48.5 MB
8. Bonus Example Parts-of-Speech Tagging/1. Parts-of-Speech Tagging Concepts.vtt6.3 KB
8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.mp414.4 MB
8. Bonus Example Parts-of-Speech Tagging/2. POS Tagging with an HMM.vtt4.6 KB
9. Basics Review/1. (Review) Gaussian Mixture Models.mp45.0 MB
9. Basics Review/1. (Review) Gaussian Mixture Models.vtt3.3 KB
9. Basics Review/2. (Review) Theano Tutorial.mp419.9 MB
9. Basics Review/2. (Review) Theano Tutorial.vtt7.1 KB
9. Basics Review/3. (Review) Tensorflow Tutorial.mp413.9 MB
9. Basics Review/3. (Review) Tensorflow Tutorial.vtt5.6 KB
[FCS Forum].url133 bytes
[FreeCourseSite.com].url127 bytes
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