Skip to content

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

Sign up to create lists
Report [GigaCourse com] Udemy - Unsupervised Machine Learning Hidden Markov Models in Python
Unverified source. This magnet is from an unverified source. The content may be unsafe or mislabeled. Proceed with caution.
Title: UdemyGroup: NOGRPSource: Udemy
Info Hash
67A5096D7FDE3E8218E108AC5F1EA1D4A8BD09BD
Source
Unverified
Total Size
1.15 GB
Total Files
100
Seeders
0
Leechers
1
Health
Score
1
Type
Bookware

File List

FileSize
1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.mp46.78 MB
1. Introduction and Outline/1. Introduction and Outline Why would you want to use an HMM.vtt5.42 KB
1. Introduction and Outline/2. Unsupervised or Supervised.mp45.27 MB
1. Introduction and Outline/2. Unsupervised or Supervised.vtt3.67 KB
1. Introduction and Outline/3. Where to get the Code and Data.mp42.09 MB
1. Introduction and Outline/3. Where to get the Code and Data.vtt1.73 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.vtt3.74 KB
10. Appendix/1. What is the Appendix.mp45.45 MB
10. Appendix/1. What is the Appendix.vtt3.38 KB
10. Appendix/10. What order should I take your courses in (part 1).mp429.33 MB
10. Appendix/10. What order should I take your courses in (part 1).vtt15.16 KB
10. Appendix/11. What order should I take your courses in (part 2).mp437.63 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.mp44.03 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.mp4186.33 MB
10. Appendix/2. Windows-Focused Environment Setup 2018.vtt18.66 KB
10. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp443.92 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).mp424.54 MB
10. Appendix/4. How to Code by Yourself (part 1).vtt21.32 KB
10. Appendix/5. How to Code by Yourself (part 2).mp414.81 MB
10. Appendix/5. How to Code by Yourself (part 2).vtt12.41 KB
10. Appendix/6. How to Succeed in this Course (Long Version).mp418.32 MB
10. Appendix/6. How to Succeed in this Course (Long Version).vtt13.71 KB
10. Appendix/7. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp438.96 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.mp478.28 MB
10. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt13.18 KB
10. Appendix/9. Python 2 vs Python 3.mp47.84 MB
10. Appendix/9. Python 2 vs Python 3.vtt5.9 KB
2. Markov Models/1. The Markov Property.mp48.31 MB
2. Markov Models/1. The Markov Property.vtt6.22 KB
2. Markov Models/2. Markov Models.mp48.17 MB
2. Markov Models/2. Markov Models.vtt5.94 KB
2. Markov Models/3. The Math of Markov Chains.mp49.04 MB
2. Markov Models/3. The Math of Markov Chains.vtt6.71 KB
3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.mp45.54 MB
3. Markov Models Example Problems and Applications/1. Example Problem Sick or Healthy.vtt4.33 KB
3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.mp44.63 MB
3. Markov Models Example Problems and Applications/2. Example Problem Expected number of continuously sick days.vtt3.32 KB
3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.mp415.83 MB
3. Markov Models Example Problems and Applications/3. Example application SEO and Bounce Rate Optimization.vtt9.46 KB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.mp426.93 MB
3. Markov Models Example Problems and Applications/4. Example Application Build a 2nd-order language model and generate phrases.vtt12.34 KB
3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.mp48.72 MB
3. Markov Models Example Problems and Applications/5. Example Application Google’s PageRank algorithm.vtt6.51 KB
4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.mp410.17 MB
4. Hidden Markov Models for Discrete Observations/1. From Markov Models to Hidden Markov Models.vtt7.93 KB
4. Hidden Markov Models for Discrete Observations/10. Baum-Welch Updates for Multiple Observations.mp47.48 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.mp447.43 MB
4. Hidden Markov Models for Discrete Observations/11. Discrete HMM in Code.vtt13.46 KB
4. Hidden Markov Models for Discrete Observations/12. The underflow problem and how to solve it.mp47.65 MB
4. Hidden Markov Models for Discrete Observations/12. The underflow problem and how to solve it.vtt6.12 KB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.mp429.14 MB
4. Hidden Markov Models for Discrete Observations/13. Discrete HMM Updates in Code with Scaling.vtt7.84 KB
4. Hidden Markov Models for Discrete Observations/14. Scaled Viterbi Algorithm in Log Space.mp49.23 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.mp41.54 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.mp47.35 MB
4. Hidden Markov Models for Discrete Observations/3. How can we choose the number of hidden states.vtt5.57 KB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.mp422.44 MB
4. Hidden Markov Models for Discrete Observations/4. The Forward-Backward Algorithm.vtt5.21 KB
4. Hidden Markov Models for Discrete Observations/5. Visual Intuition for the Forward Algorithm.mp46.03 MB
4. Hidden Markov Models for Discrete Observations/5. Visual Intuition for the Forward Algorithm.vtt4.46 KB
4. Hidden Markov Models for Discrete Observations/6. The Viterbi Algorithm.mp45.04 MB
4. Hidden Markov Models for Discrete Observations/6. The Viterbi Algorithm.vtt3.49 KB
4. Hidden Markov Models for Discrete Observations/7. Visual Intuition for the Viterbi Algorithm.mp415.68 MB
4. Hidden Markov Models for Discrete Observations/7. Visual Intuition for the Viterbi Algorithm.vtt3.91 KB
4. Hidden Markov Models for Discrete Observations/8. The Baum-Welch Algorithm.mp44.35 MB
4. Hidden Markov Models for Discrete Observations/8. The Baum-Welch Algorithm.vtt2.97 KB
4. Hidden Markov Models for Discrete Observations/9. Baum-Welch Explanation and Intuition.mp411.97 MB
4. Hidden Markov Models for Discrete Observations/9. Baum-Welch Explanation and Intuition.vtt8.06 KB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.mp422.81 MB
5. Discrete HMMs Using Deep Learning Libraries/1. Gradient Descent Tutorial.vtt5.19 KB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.mp423.76 MB
5. Discrete HMMs Using Deep Learning Libraries/2. Theano Scan Tutorial.vtt11.26 KB
5. Discrete HMMs Using Deep Learning Libraries/3. Discrete HMM in Theano.mp430.74 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.mp425.95 MB
5. Discrete HMMs Using Deep Learning Libraries/4. Improving our Gradient Descent-Based HMM.vtt5.91 KB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.mp423.07 MB
5. Discrete HMMs Using Deep Learning Libraries/5. Tensorflow Scan Tutorial.vtt14.03 KB
5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.mp416.44 MB
5. Discrete HMMs Using Deep Learning Libraries/6. Discrete HMM in Tensorflow.vtt8.44 KB
6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.mp416.46 MB
6. HMMs for Continuous Observations/1. Gaussian Mixture Models with Hidden Markov Models.vtt4.92 KB
6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.mp414.95 MB
6. HMMs for Continuous Observations/2. Generating Data from a Real-Valued HMM.vtt3.99 KB
6. HMMs for Continuous Observations/3. Continuous-Observation HMM in Code (part 1).mp446.69 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).mp415.29 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.mp445.41 MB
6. HMMs for Continuous Observations/5. Continuous HMM in Theano.vtt10.45 KB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.mp422.46 MB
6. HMMs for Continuous Observations/6. Continuous HMM in Tensorflow.vtt10.36 KB

Trackers

No trackers found.