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Udemy - Machine Learning and AI Support Vector Machines in Python (4.2019)
大小 3.1 GB
文件数 144
Info Hash: DE3F6967D75837C7C65482EF15F9E5057A52A1AA
收录时间 2025-12-27 05:15:57
更新时间 2025-12-27 09:53:00
文件列表 (144)
1. Welcome/1. Introduction.mp4
23.52 MB
1. Welcome/1. Introduction.vtt
2.69 KB
1. Welcome/2. Course Objectives.mp4
57.67 MB
1. Welcome/2. Course Objectives.vtt
5.72 KB
1. Welcome/3. Course Outline.mp4
31.3 MB
1. Welcome/3. Course Outline.vtt
6.68 KB
1. Welcome/4. Where to get the code and data.mp4
39.03 MB
1. Welcome/4. Where to get the code and data.vtt
6.98 KB
2. Beginner_s Corner/1. Beginner_s Corner Section Introduction.mp4
44.27 MB
2. Beginner_s Corner/1. Beginner_s Corner Section Introduction.vtt
6.23 KB
2. Beginner_s Corner/2. Image Classification with SVMs.mp4
36.49 MB
2. Beginner_s Corner/2. Image Classification with SVMs.vtt
6.37 KB
2. Beginner_s Corner/3. Spam Detection with SVMs.mp4
101.47 MB
2. Beginner_s Corner/3. Spam Detection with SVMs.vtt
12.42 KB
2. Beginner_s Corner/4. Medical Diagnosis with SVMs.mp4
47.91 MB
2. Beginner_s Corner/4. Medical Diagnosis with SVMs.vtt
6.05 KB
2. Beginner_s Corner/5. Regression with SVMs.mp4
50.9 MB
2. Beginner_s Corner/5. Regression with SVMs.vtt
5.63 KB
2. Beginner_s Corner/6. Cross-Validation.mp4
54.63 MB
2. Beginner_s Corner/6. Cross-Validation.vtt
8.33 KB
2. Beginner_s Corner/7. How do you get the data How do you process the data.mp4
28.83 MB
2. Beginner_s Corner/7. How do you get the data How do you process the data.vtt
6.68 KB
3. Review of Linear Classifiers/1. Basic Geometry.mp4
46.61 MB
3. Review of Linear Classifiers/1. Basic Geometry.vtt
11.41 KB
3. Review of Linear Classifiers/2. Normal Vectors.mp4
14.8 MB
3. Review of Linear Classifiers/2. Normal Vectors.vtt
3.64 KB
3. Review of Linear Classifiers/3. Logistic Regression Review.mp4
39.9 MB
3. Review of Linear Classifiers/3. Logistic Regression Review.vtt
10.69 KB
3. Review of Linear Classifiers/4. Loss Function and Regularization.mp4
16.15 MB
3. Review of Linear Classifiers/4. Loss Function and Regularization.vtt
4.3 KB
3. Review of Linear Classifiers/5. Prediction Confidence.mp4
30.65 MB
3. Review of Linear Classifiers/5. Prediction Confidence.vtt
7.92 KB
3. Review of Linear Classifiers/6. Nonlinear Problems.mp4
47.05 MB
3. Review of Linear Classifiers/6. Nonlinear Problems.vtt
10.41 KB
3. Review of Linear Classifiers/7. Linear Classifiers Section Conclusion.mp4
19.29 MB
3. Review of Linear Classifiers/7. Linear Classifiers Section Conclusion.vtt
4.69 KB
4. Linear SVM/1. Linear SVM Section Introduction and Outline.mp4
17.68 MB
4. Linear SVM/1. Linear SVM Section Introduction and Outline.vtt
3.74 KB
4. Linear SVM/10. Linear SVM Section Summary.mp4
18.99 MB
4. Linear SVM/10. Linear SVM Section Summary.vtt
4.88 KB
4. Linear SVM/2. Linear SVM Problem Setup and Definitions.mp4
22.84 MB
4. Linear SVM/2. Linear SVM Problem Setup and Definitions.vtt
5.11 KB
4. Linear SVM/3. Margins.mp4
41.49 MB
4. Linear SVM/3. Margins.vtt
8.56 KB
4. Linear SVM/4. Linear SVM Objective.mp4
49.17 MB
4. Linear SVM/4. Linear SVM Objective.vtt
11.64 KB
4. Linear SVM/5. Linear and Quadratic Programming.mp4
64.22 MB
4. Linear SVM/5. Linear and Quadratic Programming.vtt
13.19 KB
4. Linear SVM/6. Slack Variables.mp4
38.68 MB
4. Linear SVM/6. Slack Variables.vtt
7.95 KB
4. Linear SVM/7. Hinge Loss (and its Relationship to Logistic Regression).mp4
29.69 MB
4. Linear SVM/7. Hinge Loss (and its Relationship to Logistic Regression).vtt
6.68 KB
4. Linear SVM/8. Linear SVM with Gradient Descent.mp4
15.68 MB
4. Linear SVM/8. Linear SVM with Gradient Descent.vtt
3.13 KB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4
51.93 MB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).vtt
5.31 KB
5. Duality/1. Duality Section Introduction.mp4
14.72 MB
5. Duality/1. Duality Section Introduction.vtt
4.22 KB
5. Duality/2. Duality and Lagrangians (part 1).mp4
58.69 MB
5. Duality/2. Duality and Lagrangians (part 1).vtt
13.63 KB
5. Duality/3. Lagrangian Duality (part 2).mp4
29.19 MB
5. Duality/3. Lagrangian Duality (part 2).vtt
6.74 KB
5. Duality/4. Relationship to Linear Programming.mp4
20.12 MB
5. Duality/4. Relationship to Linear Programming.vtt
4.55 KB
5. Duality/5. Predictions and Support Vectors.mp4
38.88 MB
5. Duality/5. Predictions and Support Vectors.vtt
9.57 KB
5. Duality/6. Why Transform Primal to Dual.mp4
16.93 MB
5. Duality/6. Why Transform Primal to Dual.vtt
3.75 KB
5. Duality/7. Duality Section Conclusion.mp4
13.22 MB
5. Duality/7. Duality Section Conclusion.vtt
2.99 KB
6. Kernel Methods/1. Kernel Methods Section Introduction.mp4
19.13 MB
6. Kernel Methods/1. Kernel Methods Section Introduction.vtt
3.87 KB
6. Kernel Methods/2. The Kernel Trick.mp4
37.25 MB
6. Kernel Methods/2. The Kernel Trick.vtt
8.03 KB
6. Kernel Methods/3. Polynomial Kernel.mp4
25.37 MB
6. Kernel Methods/3. Polynomial Kernel.vtt
5.91 KB
6. Kernel Methods/4. Gaussian Kernel.mp4
26.96 MB
6. Kernel Methods/4. Gaussian Kernel.vtt
5.26 KB
6. Kernel Methods/5. Using the Gaussian Kernel.mp4
36.01 MB
6. Kernel Methods/5. Using the Gaussian Kernel.vtt
7.64 KB
6. Kernel Methods/6. Why does the Gaussian Kernel correspond to infinite-dimensional features.mp4
19.85 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
32.44 MB
6. Kernel Methods/7. Other Kernels.vtt
7.23 KB
6. Kernel Methods/8. Mercer_s Condition.mp4
27.57 MB
6. Kernel Methods/8. Mercer_s Condition.vtt
6.57 KB
6. Kernel Methods/9. Kernel Methods Section Summary.mp4
11.14 MB
6. Kernel Methods/9. Kernel Methods Section Summary.vtt
2.82 KB
7. Implementations and Extensions/1. Dual with Slack Variables.mp4
38.93 MB
7. Implementations and Extensions/1. Dual with Slack Variables.vtt
11.2 KB
7. Implementations and Extensions/2. Simple Approaches to Implementation.mp4
24.65 MB
7. Implementations and Extensions/2. Simple Approaches to Implementation.vtt
6.93 KB
7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.mp4
83.6 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
21.35 MB
7. Implementations and Extensions/4. Kernel SVM Gradient Descent with Primal (Theory).vtt
4.89 KB
7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).mp4
58.72 MB
7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).vtt
4.09 KB
7. Implementations and Extensions/6. SMO (Sequential Minimal Optimization).mp4
41.42 MB
7. Implementations and Extensions/6. SMO (Sequential Minimal Optimization).vtt
10.54 KB
7. Implementations and Extensions/7. Support Vector Regression.mp4
27.24 MB
7. Implementations and Extensions/7. Support Vector Regression.vtt
5.82 KB
7. Implementations and Extensions/8. Multiclass Classification.mp4
19.08 MB
7. Implementations and Extensions/8. Multiclass Classification.vtt
4.89 KB
8. Neural Networks (Beginner_s Corner 2)/1. Neural Networks Section Introduction.mp4
15.61 MB
8. Neural Networks (Beginner_s Corner 2)/1. Neural Networks Section Introduction.vtt
3.07 KB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4
79.54 MB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.vtt
17.03 KB
8. Neural Networks (Beginner_s Corner 2)/3. RBF Approximations.mp4
44.41 MB
8. Neural Networks (Beginner_s Corner 2)/3. RBF Approximations.vtt
9.37 KB
8. Neural Networks (Beginner_s Corner 2)/4. What Happened to Infinite Dimensionality.mp4
12.57 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
39.11 MB
8. Neural Networks (Beginner_s Corner 2)/5. Build Your Own RBF Network.vtt
3.98 KB
8. Neural Networks (Beginner_s Corner 2)/6. Relationship to Deep Learning Neural Networks.mp4
33.75 MB
8. Neural Networks (Beginner_s Corner 2)/6. Relationship to Deep Learning Neural Networks.vtt
7.78 KB
8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.mp4
72.29 MB
8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.vtt
7.27 KB
8. Neural Networks (Beginner_s Corner 2)/8. Neural Networks Section Conclusion.mp4
11.83 MB
8. Neural Networks (Beginner_s Corner 2)/8. Neural Networks Section Conclusion.vtt
2.83 KB
9. Appendix/1. What is the Appendix.mp4
37.75 MB
9. Appendix/1. What is the Appendix.vtt
3.29 KB
9. Appendix/10. What order should I take your courses in (part 1).mp4
88.41 MB
9. Appendix/10. What order should I take your courses in (part 1).vtt
14.17 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
20.24 KB
9. Appendix/12. [Bonus] Where to get discount coupons and FREE deep learning material.mp4
32.42 MB
9. Appendix/12. [Bonus] Where to get discount coupons and FREE deep learning material.vtt
2.91 KB
9. Appendix/2. Windows-Focused Environment Setup 2018.mp4
194.35 MB
9. Appendix/2. Windows-Focused Environment Setup 2018.vtt
17.34 KB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
167.01 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
12.59 KB
9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
117.69 MB
9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
27.68 KB
9. Appendix/5. How to Succeed in this Course (Long Version).mp4
39.25 MB
9. Appendix/5. How to Succeed in this Course (Long Version).vtt
12.83 KB
9. Appendix/6. How to Code by Yourself (part 1).mp4
82.57 MB
9. Appendix/6. How to Code by Yourself (part 1).vtt
19.38 KB
9. Appendix/7. How to Code by Yourself (part 2).mp4
56.69 MB
9. Appendix/7. How to Code by Yourself (part 2).vtt
11.44 KB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78.29 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt
12.31 KB
9. Appendix/9. Python 2 vs Python 3.mp4
27.29 MB
9. Appendix/9. Python 2 vs Python 3.vtt
5.35 KB
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