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1. Basic Geometry.mp4
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MP4
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46.6 MB
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1. Basic Geometry.vtt
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VTT
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11.4 KB
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1. Beginner_s Corner Section Introduction.mp4
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MP4
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34 MB
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1. Beginner_s Corner Section Introduction.vtt
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VTT
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6.2 KB
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1. Dual with Slack Variables.mp4
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MP4
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38.9 MB
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1. Dual with Slack Variables.vtt
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VTT
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11.2 KB
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1. Duality Section Introduction.mp4
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MP4
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14.7 MB
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1. Duality Section Introduction.vtt
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VTT
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4.2 KB
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1. Introduction.mp4
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MP4
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16.1 MB
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1. Introduction.vtt
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VTT
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2.7 KB
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1. Kernel Methods Section Introduction.mp4
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MP4
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19.1 MB
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1. Kernel Methods Section Introduction.vtt
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VTT
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3.9 KB
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1. Linear SVM Section Introduction and Outline.mp4
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MP4
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17.7 MB
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1. Linear SVM Section Introduction and Outline.vtt
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VTT
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3.7 KB
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1. Neural Networks Section Introduction.mp4
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MP4
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15.6 MB
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1. Neural Networks Section Introduction.vtt
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VTT
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3.1 KB
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1. What is the Appendix.mp4
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MP4
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25.4 MB
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1. What is the Appendix.vtt
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VTT
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3.3 KB
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10. Linear SVM Section Summary.mp4
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MP4
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19 MB
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10. Linear SVM Section Summary.vtt
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VTT
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4.9 KB
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10. What order should I take your courses in (part 1).mp4
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MP4
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88.4 MB
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10. What order should I take your courses in (part 1).vtt
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VTT
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14.2 KB
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11. What order should I take your courses in (part 2).mp4
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MP4
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123 MB
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11. What order should I take your courses in (part 2).vtt
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VTT
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20.2 KB
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12. [Bonus] Where to get discount coupons and FREE deep learning material.mp4
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MP4
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22.5 MB
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12. [Bonus] Where to get discount coupons and FREE deep learning material.vtt
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VTT
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2.9 KB
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2. Course Objectives.mp4
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MP4
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37.2 MB
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2. Course Objectives.vtt
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VTT
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5.7 KB
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2. Duality and Lagrangians (part 1).mp4
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MP4
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58.7 MB
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2. Duality and Lagrangians (part 1).vtt
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VTT
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13.6 KB
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2. Image Classification with SVMs.mp4
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MP4
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36.5 MB
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2. Image Classification with SVMs.vtt
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VTT
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6.4 KB
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2. Linear SVM Problem Setup and Definitions.mp4
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MP4
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22.8 MB
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2. Linear SVM Problem Setup and Definitions.vtt
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VTT
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5.1 KB
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2. Normal Vectors.mp4
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MP4
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14.8 MB
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2. Normal Vectors.vtt
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VTT
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3.6 KB
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2. RBF Networks.mp4
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MP4
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79.5 MB
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2. RBF Networks.vtt
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VTT
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17 KB
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2. Simple Approaches to Implementation.mp4
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MP4
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24.7 MB
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2. Simple Approaches to Implementation.vtt
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VTT
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6.9 KB
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2. The Kernel Trick.mp4
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MP4
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37.2 MB
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2. The Kernel Trick.vtt
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VTT
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8 KB
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2. Windows-Focused Environment Setup 2018.mp4
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MP4
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194.3 MB
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2. Windows-Focused Environment Setup 2018.vtt
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VTT
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17.3 KB
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3. Course Outline.mp4
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MP4
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31.3 MB
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3. Course Outline.vtt
|
VTT
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6.7 KB
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3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
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MP4
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167 MB
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3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
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VTT
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12.6 KB
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3. Lagrangian Duality (part 2).mp4
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MP4
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29.2 MB
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3. Lagrangian Duality (part 2).vtt
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VTT
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6.7 KB
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3. Logistic Regression Review.mp4
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MP4
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39.9 MB
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3. Logistic Regression Review.vtt
|
VTT
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10.7 KB
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3. Margins.mp4
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MP4
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41.5 MB
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3. Margins.vtt
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VTT
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8.6 KB
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3. Polynomial Kernel.mp4
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MP4
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25.4 MB
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3. Polynomial Kernel.vtt
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VTT
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5.9 KB
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3. RBF Approximations.mp4
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MP4
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44.4 MB
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3. RBF Approximations.vtt
|
VTT
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9.4 KB
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3. SVM with Projected Gradient Descent Code.mp4
|
MP4
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83.6 MB
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3. SVM with Projected Gradient Descent Code.vtt
|
VTT
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7.8 KB
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3. Spam Detection with SVMs.mp4
|
MP4
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101.5 MB
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|
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3. Spam Detection with SVMs.vtt
|
VTT
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12.4 KB
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4. Gaussian Kernel.mp4
|
MP4
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27 MB
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4. Gaussian Kernel.vtt
|
VTT
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5.3 KB
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4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
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MP4
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117.7 MB
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4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
|
VTT
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27.7 KB
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4. Kernel SVM Gradient Descent with Primal (Theory).mp4
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MP4
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21.3 MB
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4. Kernel SVM Gradient Descent with Primal (Theory).vtt
|
VTT
|
4.9 KB
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4. Linear SVM Objective.mp4
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MP4
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49.2 MB
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4. Linear SVM Objective.vtt
|
VTT
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11.6 KB
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4. Loss Function and Regularization.mp4
|
MP4
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16.1 MB
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4. Loss Function and Regularization.vtt
|
VTT
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4.3 KB
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4. Medical Diagnosis with SVMs.mp4
|
MP4
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47.9 MB
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4. Medical Diagnosis with SVMs.vtt
|
VTT
|
6 KB
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4. Relationship to Linear Programming.mp4
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MP4
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20.1 MB
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4. Relationship to Linear Programming.vtt
|
VTT
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4.6 KB
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4. What Happened to Infinite Dimensionality.mp4
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MP4
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12.6 MB
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4. What Happened to Infinite Dimensionality.vtt
|
VTT
|
2.9 KB
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4. Where to get the code and data.mp4
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MP4
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39 MB
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4. Where to get the code and data.vtt
|
VTT
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7 KB
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5. Build Your Own RBF Network.mp4
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MP4
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39.1 MB
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|
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5. Build Your Own RBF Network.vtt
|
VTT
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4 KB
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5. How to Succeed in this Course (Long Version).mp4
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MP4
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39.3 MB
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|
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5. How to Succeed in this Course (Long Version).vtt
|
VTT
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12.8 KB
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5. Kernel SVM Gradient Descent with Primal (Code).mp4
|
MP4
|
58.7 MB
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|
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5. Kernel SVM Gradient Descent with Primal (Code).vtt
|
VTT
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4.1 KB
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5. Linear and Quadratic Programming.mp4
|
MP4
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64.2 MB
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|
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5. Linear and Quadratic Programming.vtt
|
VTT
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13.2 KB
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5. Prediction Confidence.mp4
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MP4
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30.6 MB
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|
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5. Prediction Confidence.vtt
|
VTT
|
7.9 KB
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5. Predictions and Support Vectors.mp4
|
MP4
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38.9 MB
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|
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5. Predictions and Support Vectors.vtt
|
VTT
|
9.6 KB
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5. Regression with SVMs.mp4
|
MP4
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50.9 MB
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|
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5. Regression with SVMs.vtt
|
VTT
|
5.6 KB
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5. Using the Gaussian Kernel.mp4
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MP4
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36 MB
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|
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5. Using the Gaussian Kernel.vtt
|
VTT
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7.6 KB
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6. Cross-Validation.mp4
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MP4
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54.6 MB
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|
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6. Cross-Validation.vtt
|
VTT
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8.3 KB
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6. How to Code by Yourself (part 1).mp4
|
MP4
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82.6 MB
|
|
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6. How to Code by Yourself (part 1).vtt
|
VTT
|
19.4 KB
|
|
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6. Nonlinear Problems.mp4
|
MP4
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47 MB
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|
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6. Nonlinear Problems.vtt
|
VTT
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10.4 KB
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|
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6. Relationship to Deep Learning Neural Networks.mp4
|
MP4
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33.8 MB
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|
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6. Relationship to Deep Learning Neural Networks.vtt
|
VTT
|
7.8 KB
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|
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6. SMO (Sequential Minimal Optimization).mp4
|
MP4
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41.4 MB
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|
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6. SMO (Sequential Minimal Optimization).vtt
|
VTT
|
10.5 KB
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|
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6. Slack Variables.mp4
|
MP4
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38.7 MB
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|
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6. Slack Variables.vtt
|
VTT
|
7.9 KB
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6. Why Transform Primal to Dual.mp4
|
MP4
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16.9 MB
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6. Why Transform Primal to Dual.vtt
|
VTT
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3.8 KB
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6. Why does the Gaussian Kernel correspond to infinite-dimensional features.mp4
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MP4
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19.8 MB
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|
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6. Why does the Gaussian Kernel correspond to infinite-dimensional features.vtt
|
VTT
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4.4 KB
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7. Duality Section Conclusion.mp4
|
MP4
|
13.2 MB
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|
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7. Duality Section Conclusion.vtt
|
VTT
|
3 KB
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7. Hinge Loss (and its Relationship to Logistic Regression).mp4
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MP4
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29.7 MB
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|
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7. Hinge Loss (and its Relationship to Logistic Regression).vtt
|
VTT
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6.7 KB
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7. How do you get the data How do you process the data.mp4
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MP4
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28.8 MB
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|
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7. How do you get the data How do you process the data.vtt
|
VTT
|
6.7 KB
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|
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7. How to Code by Yourself (part 2).mp4
|
MP4
|
56.7 MB
|
|
|
7. How to Code by Yourself (part 2).vtt
|
VTT
|
11.4 KB
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|
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7. Linear Classifiers Section Conclusion.mp4
|
MP4
|
19.3 MB
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|
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7. Linear Classifiers Section Conclusion.vtt
|
VTT
|
4.7 KB
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7. Neural Network-SVM Mashup.mp4
|
MP4
|
72.3 MB
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|
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7. Neural Network-SVM Mashup.vtt
|
VTT
|
7.3 KB
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7. Other Kernels.mp4
|
MP4
|
32.4 MB
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|
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7. Other Kernels.vtt
|
VTT
|
7.2 KB
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7. Support Vector Regression.mp4
|
MP4
|
27.2 MB
|
|
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7. Support Vector Regression.vtt
|
VTT
|
5.8 KB
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8. Linear SVM with Gradient Descent.mp4
|
MP4
|
15.7 MB
|
|
|
8. Linear SVM with Gradient Descent.vtt
|
VTT
|
3.1 KB
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8. Mercer_s Condition.mp4
|
MP4
|
27.6 MB
|
|
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8. Mercer_s Condition.vtt
|
VTT
|
6.6 KB
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|
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8. Multiclass Classification.mp4
|
MP4
|
19.1 MB
|
|
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8. Multiclass Classification.vtt
|
VTT
|
4.9 KB
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8. Neural Networks Section Conclusion.mp4
|
MP4
|
11.8 MB
|
|
|
8. Neural Networks Section Conclusion.vtt
|
VTT
|
2.8 KB
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8. Proof that using Jupyter Notebook is the same as not using it.mp4
|
MP4
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78.3 MB
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|
|
8. Proof that using Jupyter Notebook is the same as not using it.vtt
|
VTT
|
12.3 KB
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9. Kernel Methods Section Summary.mp4
|
MP4
|
11.1 MB
|
|
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9. Kernel Methods Section Summary.vtt
|
VTT
|
2.8 KB
|
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9. Linear SVM with Gradient Descent (Code).mp4
|
MP4
|
51.9 MB
|
|
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9. Linear SVM with Gradient Descent (Code).vtt
|
VTT
|
5.3 KB
|
|
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9. Python 2 vs Python 3.mp4
|
MP4
|
30.3 MB
|
|
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9. Python 2 vs Python 3.vtt
|
VTT
|
5.4 KB
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Discuss.FTUForum.com.html
|
HTML
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31.9 KB
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FTUForum.com.html
|
HTML
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100.4 KB
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FreeCoursesOnline.Me.html
|
HTML
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108.3 KB
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How you can help Team-FTU.txt
|
TXT
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204.8 B
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Torrent Downloaded From GloDls.to.txt
|
TXT
|
102.4 B
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[TGx]Downloaded from torrentgalaxy.org.txt
|
TXT
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512 B
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![[UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]](/static/img/no-torrent-image.png "[UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]")
