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1. An Easy Introduction to K-Means Clustering.mp4
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MP4
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12.5 MB
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1. An Easy Introduction to K-Means Clustering.srt
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SRT
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9.4 KB
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1. Gaussian Mixture Model (GMM) Algorithm.mp4
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MP4
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65.8 MB
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1. Gaussian Mixture Model (GMM) Algorithm.srt
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SRT
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20.2 KB
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1. How to Code by Yourself (part 1).mp4
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MP4
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24.5 MB
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1. How to Code by Yourself (part 1).srt
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SRT
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22.8 KB
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1. How to Succeed in this Course (Long Version).mp4
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MP4
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18.3 MB
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1. How to Succeed in this Course (Long Version).srt
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SRT
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14.5 KB
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1. Introduction.mp4
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MP4
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45.6 MB
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1. Introduction.srt
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SRT
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6.9 KB
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1. Visual Walkthrough of Agglomerative Hierarchical Clustering.mp4
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MP4
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4.4 MB
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1. Visual Walkthrough of Agglomerative Hierarchical Clustering.srt
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SRT
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3.5 KB
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1. What is the Appendix.mp4
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MP4
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5.5 MB
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1. What is the Appendix.srt
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SRT
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3.7 KB
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1. Windows-Focused Environment Setup 2018.mp4
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MP4
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186.3 MB
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1. Windows-Focused Environment Setup 2018.srt
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SRT
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20.1 KB
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10. Expectation-Maximization (pt 3).mp4
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MP4
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31.3 MB
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10. Expectation-Maximization (pt 3).srt
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SRT
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10.1 KB
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10. Soft K-Means.mp4
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MP4
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25.3 MB
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10. Soft K-Means.srt
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SRT
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7 KB
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11. Future Unsupervised Learning Algorithms You Will Learn.mp4
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MP4
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2 MB
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11. Future Unsupervised Learning Algorithms You Will Learn.srt
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SRT
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1.4 KB
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11. The Soft K-Means Objective Function.mp4
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MP4
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3 MB
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11. The Soft K-Means Objective Function.srt
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SRT
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2.1 KB
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12. Soft K-Means in Python Code.mp4
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MP4
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30.2 MB
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12. Soft K-Means in Python Code.srt
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SRT
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7.8 KB
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13. How to Pace Yourself.mp4
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MP4
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22.4 MB
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13. How to Pace Yourself.srt
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SRT
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4.7 KB
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14. Visualizing Each Step of K-Means.mp4
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MP4
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5.2 MB
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14. Visualizing Each Step of K-Means.srt
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SRT
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2.7 KB
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15. Examples of where K-Means can fail.mp4
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MP4
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17 MB
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15. Examples of where K-Means can fail.srt
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SRT
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5.2 KB
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16. Disadvantages of K-Means Clustering.mp4
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MP4
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3.9 MB
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16. Disadvantages of K-Means Clustering.srt
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SRT
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3.3 KB
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17. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).mp4
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MP4
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11.4 MB
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17. How to Evaluate a Clustering (Purity, Davies-Bouldin Index).srt
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SRT
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9 KB
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18. Using K-Means on Real Data MNIST.mp4
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MP4
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10.7 MB
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18. Using K-Means on Real Data MNIST.srt
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SRT
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7 KB
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19. One Way to Choose K.mp4
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MP4
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9.1 MB
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19. One Way to Choose K.srt
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SRT
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5.1 KB
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2. Agglomerative Clustering Options.mp4
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MP4
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6.2 MB
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2. Agglomerative Clustering Options.srt
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SRT
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5.4 KB
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2. BONUS Where to get discount coupons and FREE deep learning material.mp4
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MP4
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37.8 MB
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2. BONUS Where to get discount coupons and FREE deep learning material.srt
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SRT
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7.9 KB
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2. Course Outline.mp4
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MP4
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20.3 MB
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2. Course Outline.srt
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SRT
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6 KB
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2. Hard K-Means Exercise Prompt 1.mp4
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MP4
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50 MB
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2. Hard K-Means Exercise Prompt 1.srt
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SRT
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11.5 KB
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2. How to Code by Yourself (part 2).mp4
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MP4
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14.8 MB
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2. How to Code by Yourself (part 2).srt
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SRT
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13.3 KB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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MP4
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43.9 MB
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2. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.srt
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SRT
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14.5 KB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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MP4
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39 MB
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2. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.srt
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SRT
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31.8 KB
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2. Write a Gaussian Mixture Model in Python Code.mp4
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MP4
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137.5 MB
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2. Write a Gaussian Mixture Model in Python Code.srt
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SRT
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24.9 KB
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20. K-Means Application Finding Clusters of Related Words.mp4
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MP4
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26 MB
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20. K-Means Application Finding Clusters of Related Words.srt
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SRT
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8.4 KB
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21. Clustering for NLP and Computer Vision Real-World Applications.mp4
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MP4
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42.4 MB
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21. Clustering for NLP and Computer Vision Real-World Applications.srt
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SRT
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9.1 KB
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22. Suggestion Box.mp4
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MP4
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16.1 MB
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22. Suggestion Box.srt
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SRT
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4.7 KB
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3. Hard K-Means Exercise 1 Solution.mp4
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MP4
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55.4 MB
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3. Hard K-Means Exercise 1 Solution.srt
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SRT
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13.8 KB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).mp4
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MP4
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29.3 MB
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3. Machine Learning and AI Prerequisite Roadmap (pt 1).srt
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SRT
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16 KB
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3. Practical Issues with GMM Singular Covariance.mp4
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MP4
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43.3 MB
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3. Practical Issues with GMM Singular Covariance.srt
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SRT
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12.1 KB
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3. Proof that using Jupyter Notebook is the same as not using it.mp4
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MP4
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78.3 MB
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3. Proof that using Jupyter Notebook is the same as not using it.srt
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SRT
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14.1 KB
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3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.mp4
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MP4
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11.8 MB
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3. Using Hierarchical Clustering in Python and Interpreting the Dendrogram.srt
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SRT
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4.4 KB
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3. What is unsupervised learning used for.mp4
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MP4
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29.1 MB
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3. What is unsupervised learning used for.srt
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SRT
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7.2 KB
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4. Application Evolution.mp4
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MP4
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26.4 MB
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4. Application Evolution.srt
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SRT
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16.2 KB
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4. Comparison between GMM and K-Means.mp4
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MP4
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19.2 MB
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4. Comparison between GMM and K-Means.srt
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SRT
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5 KB
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4. Hard K-Means Exercise Prompt 2.mp4
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MP4
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23 MB
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4. Hard K-Means Exercise Prompt 2.srt
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SRT
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6.1 KB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).mp4
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MP4
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37.6 MB
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4. Machine Learning and AI Prerequisite Roadmap (pt 2).srt
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SRT
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23 KB
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4. Python 2 vs Python 3.mp4
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MP4
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7.8 MB
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4. Python 2 vs Python 3.srt
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SRT
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6.1 KB
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4. Why Use Clustering.mp4
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MP4
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54.9 MB
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4. Why Use Clustering.srt
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SRT
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12.1 KB
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5. Application Donald Trump vs. Hillary Clinton Tweets.mp4
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MP4
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35.3 MB
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5. Application Donald Trump vs. Hillary Clinton Tweets.srt
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SRT
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19.4 KB
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5. Hard K-Means Exercise 2 Solution.mp4
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MP4
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33.3 MB
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5. Hard K-Means Exercise 2 Solution.srt
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SRT
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8.4 KB
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5. Kernel Density Estimation.mp4
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MP4
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29.9 MB
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5. Kernel Density Estimation.srt
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SRT
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8.4 KB
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5. Where to get the code.mp4
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MP4
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23.1 MB
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5. Where to get the code.srt
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SRT
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6.3 KB
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5.1 Github Link.html
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HTML
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102 B
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6. Anyone Can Succeed in this Course.mp4
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MP4
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78.1 MB
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6. Anyone Can Succeed in this Course.srt
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SRT
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17.1 KB
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6. GMM vs Bayes Classifier (pt 1).mp4
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MP4
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41.3 MB
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6. GMM vs Bayes Classifier (pt 1).srt
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SRT
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12.5 KB
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6. Hard K-Means Exercise Prompt 3.mp4
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MP4
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41.8 MB
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6. Hard K-Means Exercise Prompt 3.srt
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SRT
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8.7 KB
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7. GMM vs Bayes Classifier (pt 2).mp4
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MP4
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45.2 MB
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7. GMM vs Bayes Classifier (pt 2).srt
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SRT
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14.6 KB
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7. Hard K-Means Exercise 3 Solution.mp4
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MP4
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91.3 MB
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7. Hard K-Means Exercise 3 Solution.srt
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SRT
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20.5 KB
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8. Expectation-Maximization (pt 1).mp4
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MP4
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49.8 MB
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8. Expectation-Maximization (pt 1).srt
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SRT
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14.9 KB
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8. Hard K-Means Objective Theory.mp4
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MP4
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51.9 MB
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8. Hard K-Means Objective Theory.srt
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SRT
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16.9 KB
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9. Expectation-Maximization (pt 2).mp4
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MP4
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10.9 MB
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9. Expectation-Maximization (pt 2).srt
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SRT
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2.6 KB
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9. Hard K-Means Objective Code.mp4
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MP4
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27.7 MB
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9. Hard K-Means Objective Code.srt
|
SRT
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6 KB
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TutsNode.com.txt
|
TXT
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102 B
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[TGx]Downloaded from torrentgalaxy.to .txt
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TXT
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614 B
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