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[FTUForum.com] [UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]

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File Name
Size
1. Welcome/1. Introduction.mp4
16 MB
1. Welcome/1. Introduction.vtt
2.7 kB
1. Welcome/2. Course Objectives.mp4
37 MB
1. Welcome/2. Course Objectives.vtt
5.7 kB
1. Welcome/3. Course Outline.mp4
31 MB
1. Welcome/3. Course Outline.vtt
6.7 kB
1. Welcome/4. Where to get the code and data.mp4
39 MB
1. Welcome/4. Where to get the code and data.vtt
7.0 kB
2. Beginner_s Corner/1. Beginner_s Corner Section Introduction.mp4
34 MB
2. Beginner_s Corner/1. Beginner_s Corner Section Introduction.vtt
6.2 kB
2. Beginner_s Corner/2. Image Classification with SVMs.mp4
36 MB
2. Beginner_s Corner/2. Image Classification with SVMs.vtt
6.4 kB
2. Beginner_s Corner/3. Spam Detection with SVMs.mp4
102 MB
2. Beginner_s Corner/3. Spam Detection with SVMs.vtt
12 kB
2. Beginner_s Corner/4. Medical Diagnosis with SVMs.mp4
48 MB
2. Beginner_s Corner/4. Medical Diagnosis with SVMs.vtt
6.0 kB
2. Beginner_s Corner/5. Regression with SVMs.mp4
51 MB
2. Beginner_s Corner/5. Regression with SVMs.vtt
5.6 kB
2. Beginner_s Corner/6. Cross-Validation.mp4
55 MB
2. Beginner_s Corner/6. Cross-Validation.vtt
8.3 kB
2. Beginner_s Corner/7. How do you get the data How do you process the data.mp4
29 MB
2. Beginner_s Corner/7. How do you get the data How do you process the data.vtt
6.7 kB
3. Review of Linear Classifiers/1. Basic Geometry.mp4
47 MB
3. Review of Linear Classifiers/1. Basic Geometry.vtt
11 kB
3. Review of Linear Classifiers/2. Normal Vectors.mp4
15 MB
3. Review of Linear Classifiers/2. Normal Vectors.vtt
3.6 kB
3. Review of Linear Classifiers/3. Logistic Regression Review.mp4
40 MB
3. Review of Linear Classifiers/3. Logistic Regression Review.vtt
11 kB
3. Review of Linear Classifiers/4. Loss Function and Regularization.mp4
16 MB
3. Review of Linear Classifiers/4. Loss Function and Regularization.vtt
4.3 kB
3. Review of Linear Classifiers/5. Prediction Confidence.mp4
31 MB
3. Review of Linear Classifiers/5. Prediction Confidence.vtt
7.9 kB
3. Review of Linear Classifiers/6. Nonlinear Problems.mp4
47 MB
3. Review of Linear Classifiers/6. Nonlinear Problems.vtt
10 kB
3. Review of Linear Classifiers/7. Linear Classifiers Section Conclusion.mp4
19 MB
3. Review of Linear Classifiers/7. Linear Classifiers Section Conclusion.vtt
4.7 kB
4. Linear SVM/10. Linear SVM Section Summary.mp4
19 MB
4. Linear SVM/10. Linear SVM Section Summary.vtt
4.9 kB
4. Linear SVM/1. Linear SVM Section Introduction and Outline.mp4
18 MB
4. Linear SVM/1. Linear SVM Section Introduction and Outline.vtt
3.7 kB
4. Linear SVM/2. Linear SVM Problem Setup and Definitions.mp4
23 MB
4. Linear SVM/2. Linear SVM Problem Setup and Definitions.vtt
5.1 kB
4. Linear SVM/3. Margins.mp4
42 MB
4. Linear SVM/3. Margins.vtt
8.6 kB
4. Linear SVM/4. Linear SVM Objective.mp4
49 MB
4. Linear SVM/4. Linear SVM Objective.vtt
12 kB
4. Linear SVM/5. Linear and Quadratic Programming.mp4
64 MB
4. Linear SVM/5. Linear and Quadratic Programming.vtt
13 kB
4. Linear SVM/6. Slack Variables.mp4
39 MB
4. Linear SVM/6. Slack Variables.vtt
7.9 kB
4. Linear SVM/7. Hinge Loss (and its Relationship to Logistic Regression).mp4
30 MB
4. Linear SVM/7. Hinge Loss (and its Relationship to Logistic Regression).vtt
6.7 kB
4. Linear SVM/8. Linear SVM with Gradient Descent.mp4
16 MB
4. Linear SVM/8. Linear SVM with Gradient Descent.vtt
3.1 kB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4
52 MB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).vtt
5.3 kB
5. Duality/1. Duality Section Introduction.mp4
15 MB
5. Duality/1. Duality Section Introduction.vtt
4.2 kB
5. Duality/2. Duality and Lagrangians (part 1).mp4
59 MB
5. Duality/2. Duality and Lagrangians (part 1).vtt
14 kB
5. Duality/3. Lagrangian Duality (part 2).mp4
29 MB
5. Duality/3. Lagrangian Duality (part 2).vtt
6.7 kB
5. Duality/4. Relationship to Linear Programming.mp4
20 MB
5. Duality/4. Relationship to Linear Programming.vtt
4.6 kB
5. Duality/5. Predictions and Support Vectors.mp4
39 MB
5. Duality/5. Predictions and Support Vectors.vtt
9.6 kB
5. Duality/6. Why Transform Primal to Dual.mp4
17 MB
5. Duality/6. Why Transform Primal to Dual.vtt
3.8 kB
5. Duality/7. Duality Section Conclusion.mp4
13 MB
5. Duality/7. Duality Section Conclusion.vtt
3.0 kB
6. Kernel Methods/1. Kernel Methods Section Introduction.mp4
19 MB
6. Kernel Methods/1. Kernel Methods Section Introduction.vtt
3.9 kB
6. Kernel Methods/2. The Kernel Trick.mp4
37 MB
6. Kernel Methods/2. The Kernel Trick.vtt
8.0 kB
6. Kernel Methods/3. Polynomial Kernel.mp4
25 MB
6. Kernel Methods/3. Polynomial Kernel.vtt
5.9 kB
6. Kernel Methods/4. Gaussian Kernel.mp4
27 MB
6. Kernel Methods/4. Gaussian Kernel.vtt
5.3 kB
6. Kernel Methods/5. Using the Gaussian Kernel.mp4
36 MB
6. Kernel Methods/5. Using the Gaussian Kernel.vtt
7.6 kB
6. Kernel Methods/6. Why does the Gaussian Kernel correspond to infinite-dimensional features.mp4
20 MB
6. Kernel Methods/6. Why does the Gaussian Kernel correspond to infinite-dimensional features.vtt
4.4 kB
6. Kernel Methods/7. Other Kernels.mp4
32 MB
6. Kernel Methods/7. Other Kernels.vtt
7.2 kB
6. Kernel Methods/8. Mercer_s Condition.mp4
28 MB
6. Kernel Methods/8. Mercer_s Condition.vtt
6.6 kB
6. Kernel Methods/9. Kernel Methods Section Summary.mp4
11 MB
6. Kernel Methods/9. Kernel Methods Section Summary.vtt
2.8 kB
7. Implementations and Extensions/1. Dual with Slack Variables.mp4
39 MB
7. Implementations and Extensions/1. Dual with Slack Variables.vtt
11 kB
7. Implementations and Extensions/2. Simple Approaches to Implementation.mp4
25 MB
7. Implementations and Extensions/2. Simple Approaches to Implementation.vtt
6.9 kB
7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.mp4
84 MB
7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.vtt
7.8 kB
7. Implementations and Extensions/4. Kernel SVM Gradient Descent with Primal (Theory).mp4
21 MB
7. Implementations and Extensions/4. Kernel SVM Gradient Descent with Primal (Theory).vtt
4.9 kB
7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).mp4
59 MB
7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).vtt
4.1 kB
7. Implementations and Extensions/6. SMO (Sequential Minimal Optimization).mp4
41 MB
7. Implementations and Extensions/6. SMO (Sequential Minimal Optimization).vtt
10 kB
7. Implementations and Extensions/7. Support Vector Regression.mp4
27 MB
7. Implementations and Extensions/7. Support Vector Regression.vtt
5.8 kB
7. Implementations and Extensions/8. Multiclass Classification.mp4
19 MB
7. Implementations and Extensions/8. Multiclass Classification.vtt
4.9 kB
8. Neural Networks (Beginner_s Corner 2)/1. Neural Networks Section Introduction.mp4
16 MB
8. Neural Networks (Beginner_s Corner 2)/1. Neural Networks Section Introduction.vtt
3.1 kB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4
80 MB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.vtt
17 kB
8. Neural Networks (Beginner_s Corner 2)/3. RBF Approximations.mp4
44 MB
8. Neural Networks (Beginner_s Corner 2)/3. RBF Approximations.vtt
9.4 kB
8. Neural Networks (Beginner_s Corner 2)/4. What Happened to Infinite Dimensionality.mp4
13 MB
8. Neural Networks (Beginner_s Corner 2)/4. What Happened to Infinite Dimensionality.vtt
2.9 kB
8. Neural Networks (Beginner_s Corner 2)/5. Build Your Own RBF Network.mp4
39 MB
8. Neural Networks (Beginner_s Corner 2)/5. Build Your Own RBF Network.vtt
4.0 kB
8. Neural Networks (Beginner_s Corner 2)/6. Relationship to Deep Learning Neural Networks.mp4
34 MB
8. Neural Networks (Beginner_s Corner 2)/6. Relationship to Deep Learning Neural Networks.vtt
7.8 kB
8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.mp4
72 MB
8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.vtt
7.3 kB
8. Neural Networks (Beginner_s Corner 2)/8. Neural Networks Section Conclusion.mp4
12 MB
8. Neural Networks (Beginner_s Corner 2)/8. Neural Networks Section Conclusion.vtt
2.8 kB
9. Appendix/10. What order should I take your courses in (part 1).mp4
88 MB
9. Appendix/10. What order should I take your courses in (part 1).vtt
14 kB
9. Appendix/11. What order should I take your courses in (part 2).mp4
123 MB
9. Appendix/11. What order should I take your courses in (part 2).vtt
20 kB
9. Appendix/12. [Bonus] Where to get discount coupons and FREE deep learning material.mp4
22 MB
9. Appendix/12. [Bonus] Where to get discount coupons and FREE deep learning material.vtt
2.9 kB
9. Appendix/1. What is the Appendix.mp4
25 MB
9. Appendix/1. What is the Appendix.vtt
3.3 kB
9. Appendix/2. Windows-Focused Environment Setup 2018.mp4
194 MB
9. Appendix/2. Windows-Focused Environment Setup 2018.vtt
17 kB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
167 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
13 kB
9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
118 MB
9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
28 kB
9. Appendix/5. How to Succeed in this Course (Long Version).mp4
39 MB
9. Appendix/5. How to Succeed in this Course (Long Version).vtt
13 kB
9. Appendix/6. How to Code by Yourself (part 1).mp4
83 MB
9. Appendix/6. How to Code by Yourself (part 1).vtt
19 kB
9. Appendix/7. How to Code by Yourself (part 2).mp4
57 MB
9. Appendix/7. How to Code by Yourself (part 2).vtt
11 kB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt
12 kB
9. Appendix/9. Python 2 vs Python 3.mp4
30 MB
9. Appendix/9. Python 2 vs Python 3.vtt
5.4 kB
Discuss.FTUForum.com.html
32 kB
FreeCoursesOnline.Me.html
108 kB
FTUForum.com.html
100 kB
How you can help Team-FTU.txt
235 B
[TGx]Downloaded from torrentgalaxy.org.txt
524 B
Torrent Downloaded From GloDls.to.txt
84 B