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585B |
| 1. An Easy Introduction to K-Means Clustering.mp4 |
12.55MB |
| 1. An Easy Introduction to K-Means Clustering.srt |
9.44KB |
| 1. Gaussian Mixture Model (GMM) Algorithm.mp4 |
65.78MB |
| 1. Gaussian Mixture Model (GMM) Algorithm.srt |
20.16KB |
| 1. How to Code by Yourself (part 1).mp4 |
24.53MB |
| 1. How to Code by Yourself (part 1).srt |
22.75KB |
| 1. How to Succeed in this Course (Long Version).mp4 |
18.31MB |
| 1. How to Succeed in this Course (Long Version).srt |
14.55KB |
| 1. Introduction.mp4 |
45.64MB |
| 1. Introduction.srt |
6.89KB |
| 1. Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4 |
4.40MB |
| 1. Visual Walkthrough of Agglomerative Hierarchical Clustering.srt |
3.51KB |
| 1. What is the Appendix.mp4 |
5.45MB |
| 1. What is the Appendix.srt |
3.72KB |
| 1. Windows-Focused Environment Setup 2018.mp4 |
186.30MB |
| 1. Windows-Focused Environment Setup 2018.srt |
20.10KB |
| 10. Expectation-Maximization (pt 3).mp4 |
31.29MB |
| 10. Expectation-Maximization (pt 3).srt |
10.06KB |
| 10. Soft K-Means.mp4 |
25.25MB |
| 10. Soft K-Means.srt |
6.95KB |
| 11. Future Unsupervised Learning Algorithms You Will Learn.mp4 |
1.95MB |
| 11. Future Unsupervised Learning Algorithms You Will Learn.srt |
1.40KB |
| 11. The Soft K-Means Objective Function.mp4 |
3.02MB |
| 11. The Soft K-Means Objective Function.srt |
2.05KB |
| 12. Soft K-Means in Python Code.mp4 |
30.21MB |
| 12. Soft K-Means in Python Code.srt |
7.83KB |
| 13. How to Pace Yourself.mp4 |
22.39MB |
| 13. How to Pace Yourself.srt |
4.71KB |
| 14. Visualizing Each Step of K-Means.mp4 |
5.25MB |
| 14. Visualizing Each Step of K-Means.srt |
2.68KB |
| 15. Examples of where K-Means can fail.mp4 |
17.00MB |
| 15. Examples of where K-Means can fail.srt |
5.20KB |
| 16. Disadvantages of K-Means Clustering.mp4 |
3.88MB |
| 16. Disadvantages of K-Means Clustering.srt |
3.29KB |
| 17. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4 |
11.39MB |
| 17. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).srt |
9.02KB |
| 18. Using K-Means on Real Data MNIST.mp4 |
10.70MB |
| 18. Using K-Means on Real Data MNIST.srt |
6.98KB |
| 19. One Way to Choose K.mp4 |
9.07MB |
| 19. One Way to Choose K.srt |
5.07KB |
| 2. Agglomerative Clustering Options.mp4 |
6.22MB |
| 2. Agglomerative Clustering Options.srt |
5.43KB |
| 2. BONUS Where to get discount coupons and FREE deep learning material.mp4 |
37.80MB |
| 2. BONUS Where to get discount coupons and FREE deep learning material.srt |
7.87KB |
| 2. Course Outline.mp4 |
20.26MB |
| 2. Course Outline.srt |
6.00KB |
| 2. Hard K-Means Exercise Prompt 1.mp4 |
50.03MB |
| 2. Hard K-Means Exercise Prompt 1.srt |
11.53KB |
| 2. How to Code by Yourself (part 2).mp4 |
14.80MB |
| 2. How to Code by Yourself (part 2).srt |
13.26KB |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 |
43.92MB |
| 2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt |
14.48KB |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 |
38.95MB |
| 2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt |
31.79KB |
| 2. Write a Gaussian Mixture Model in Python Code.mp4 |
137.47MB |
| 2. Write a Gaussian Mixture Model in Python Code.srt |
24.90KB |
| 20. K-Means Application Finding Clusters of Related Words.mp4 |
25.98MB |
| 20. K-Means Application Finding Clusters of Related Words.srt |
8.39KB |
| 21. Clustering for NLP and Computer Vision Real-World Applications.mp4 |
42.41MB |
| 21. Clustering for NLP and Computer Vision Real-World Applications.srt |
9.15KB |
| 22. Suggestion Box.mp4 |
16.10MB |
| 22. Suggestion Box.srt |
4.70KB |
| 3. Hard K-Means Exercise 1 Solution.mp4 |
55.43MB |
| 3. Hard K-Means Exercise 1 Solution.srt |
13.82KB |
| 3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4 |
29.32MB |
| 3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt |
16.03KB |
| 3. Practical Issues with GMM Singular Covariance.mp4 |
43.32MB |
| 3. Practical Issues with GMM Singular Covariance.srt |
12.11KB |
| 3. Proof that using Jupyter Notebook is the same as not using it.mp4 |
78.28MB |
| 3. Proof that using Jupyter Notebook is the same as not using it.srt |
14.12KB |
| 3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4 |
11.85MB |
| 3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.srt |
4.39KB |
| 3. What is unsupervised learning used for.mp4 |
29.06MB |
| 3. What is unsupervised learning used for.srt |
7.18KB |
| 4. Application Evolution.mp4 |
26.39MB |
| 4. Application Evolution.srt |
16.22KB |
| 4. Comparison between GMM and K-Means.mp4 |
19.15MB |
| 4. Comparison between GMM and K-Means.srt |
4.99KB |
| 4. Hard K-Means Exercise Prompt 2.mp4 |
22.99MB |
| 4. Hard K-Means Exercise Prompt 2.srt |
6.13KB |
| 4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4 |
37.62MB |
| 4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt |
23.04KB |
| 4. Python 2 vs Python 3.mp4 |
7.83MB |
| 4. Python 2 vs Python 3.srt |
6.10KB |
| 4. Why Use Clustering.mp4 |
54.85MB |
| 4. Why Use Clustering.srt |
12.14KB |
| 5.1 Github Link.html |
120B |
| 5. Application Donald Trump vs. Hillary Clinton Tweets.mp4 |
35.27MB |
| 5. Application Donald Trump vs. Hillary Clinton Tweets.srt |
19.41KB |
| 5. Hard K-Means Exercise 2 Solution.mp4 |
33.33MB |
| 5. Hard K-Means Exercise 2 Solution.srt |
8.44KB |
| 5. Kernel Density Estimation.mp4 |
29.95MB |
| 5. Kernel Density Estimation.srt |
8.41KB |
| 5. Where to get the code.mp4 |
23.06MB |
| 5. Where to get the code.srt |
6.26KB |
| 6. Anyone Can Succeed in this Course.mp4 |
78.06MB |
| 6. Anyone Can Succeed in this Course.srt |
17.10KB |
| 6. GMM vs Bayes Classifier (pt 1).mp4 |
41.31MB |
| 6. GMM vs Bayes Classifier (pt 1).srt |
12.50KB |
| 6. Hard K-Means Exercise Prompt 3.mp4 |
41.84MB |
| 6. Hard K-Means Exercise Prompt 3.srt |
8.70KB |
| 7. GMM vs Bayes Classifier (pt 2).mp4 |
45.19MB |
| 7. GMM vs Bayes Classifier (pt 2).srt |
14.64KB |
| 7. Hard K-Means Exercise 3 Solution.mp4 |
91.35MB |
| 7. Hard K-Means Exercise 3 Solution.srt |
20.51KB |
| 8. Expectation-Maximization (pt 1).mp4 |
49.81MB |
| 8. Expectation-Maximization (pt 1).srt |
14.92KB |
| 8. Hard K-Means Objective Theory.mp4 |
51.92MB |
| 8. Hard K-Means Objective Theory.srt |
16.95KB |
| 9. Expectation-Maximization (pt 2).mp4 |
10.87MB |
| 9. Expectation-Maximization (pt 2).srt |
2.62KB |
| 9. Hard K-Means Objective Code.mp4 |
27.69MB |
| 9. Hard K-Means Objective Code.srt |
5.99KB |
| TutsNode.com.txt |
63B |