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[FTUForum.com] [UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]
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2019-6-21 09:46
2024-12-24 23:33
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FTUForum
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UDEMY
Machine
Learning
and
AI
Support
Vector
Machines
in
Python
FTU
文件列表
1. Welcome/1. Introduction.mp4
16.15MB
1. Welcome/2. Course Objectives.mp4
37.24MB
1. Welcome/3. Course Outline.mp4
31.3MB
1. Welcome/4. Where to get the code and data.mp4
39.03MB
2. Beginner_s Corner/1. Beginner_s Corner Section Introduction.mp4
34.01MB
2. Beginner_s Corner/2. Image Classification with SVMs.mp4
36.49MB
2. Beginner_s Corner/3. Spam Detection with SVMs.mp4
101.47MB
2. Beginner_s Corner/4. Medical Diagnosis with SVMs.mp4
47.91MB
2. Beginner_s Corner/5. Regression with SVMs.mp4
50.9MB
2. Beginner_s Corner/6. Cross-Validation.mp4
54.63MB
2. Beginner_s Corner/7. How do you get the data How do you process the data.mp4
28.83MB
3. Review of Linear Classifiers/1. Basic Geometry.mp4
46.61MB
3. Review of Linear Classifiers/2. Normal Vectors.mp4
14.8MB
3. Review of Linear Classifiers/3. Logistic Regression Review.mp4
39.9MB
3. Review of Linear Classifiers/4. Loss Function and Regularization.mp4
16.15MB
3. Review of Linear Classifiers/5. Prediction Confidence.mp4
30.65MB
3. Review of Linear Classifiers/6. Nonlinear Problems.mp4
47.05MB
3. Review of Linear Classifiers/7. Linear Classifiers Section Conclusion.mp4
19.29MB
4. Linear SVM/10. Linear SVM Section Summary.mp4
18.99MB
4. Linear SVM/1. Linear SVM Section Introduction and Outline.mp4
17.68MB
4. Linear SVM/2. Linear SVM Problem Setup and Definitions.mp4
22.84MB
4. Linear SVM/3. Margins.mp4
41.49MB
4. Linear SVM/4. Linear SVM Objective.mp4
49.17MB
4. Linear SVM/5. Linear and Quadratic Programming.mp4
64.22MB
4. Linear SVM/6. Slack Variables.mp4
38.68MB
4. Linear SVM/7. Hinge Loss (and its Relationship to Logistic Regression).mp4
29.69MB
4. Linear SVM/8. Linear SVM with Gradient Descent.mp4
15.68MB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4
51.93MB
5. Duality/1. Duality Section Introduction.mp4
14.72MB
5. Duality/2. Duality and Lagrangians (part 1).mp4
58.69MB
5. Duality/3. Lagrangian Duality (part 2).mp4
29.19MB
5. Duality/4. Relationship to Linear Programming.mp4
20.12MB
5. Duality/5. Predictions and Support Vectors.mp4
38.88MB
5. Duality/6. Why Transform Primal to Dual.mp4
16.93MB
5. Duality/7. Duality Section Conclusion.mp4
13.22MB
6. Kernel Methods/1. Kernel Methods Section Introduction.mp4
19.13MB
6. Kernel Methods/2. The Kernel Trick.mp4
37.25MB
6. Kernel Methods/3. Polynomial Kernel.mp4
25.37MB
6. Kernel Methods/4. Gaussian Kernel.mp4
26.96MB
6. Kernel Methods/5. Using the Gaussian Kernel.mp4
36.01MB
6. Kernel Methods/6. Why does the Gaussian Kernel correspond to infinite-dimensional features.mp4
19.85MB
6. Kernel Methods/7. Other Kernels.mp4
32.44MB
6. Kernel Methods/8. Mercer_s Condition.mp4
27.57MB
6. Kernel Methods/9. Kernel Methods Section Summary.mp4
11.14MB
7. Implementations and Extensions/1. Dual with Slack Variables.mp4
38.93MB
7. Implementations and Extensions/2. Simple Approaches to Implementation.mp4
24.65MB
7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.mp4
83.6MB
7. Implementations and Extensions/4. Kernel SVM Gradient Descent with Primal (Theory).mp4
21.35MB
7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).mp4
58.72MB
7. Implementations and Extensions/6. SMO (Sequential Minimal Optimization).mp4
41.42MB
7. Implementations and Extensions/7. Support Vector Regression.mp4
27.24MB
7. Implementations and Extensions/8. Multiclass Classification.mp4
19.08MB
8. Neural Networks (Beginner_s Corner 2)/1. Neural Networks Section Introduction.mp4
15.61MB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4
79.54MB
8. Neural Networks (Beginner_s Corner 2)/3. RBF Approximations.mp4
44.41MB
8. Neural Networks (Beginner_s Corner 2)/4. What Happened to Infinite Dimensionality.mp4
12.57MB
8. Neural Networks (Beginner_s Corner 2)/5. Build Your Own RBF Network.mp4
39.11MB
8. Neural Networks (Beginner_s Corner 2)/6. Relationship to Deep Learning Neural Networks.mp4
33.75MB
8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.mp4
72.29MB
8. Neural Networks (Beginner_s Corner 2)/8. Neural Networks Section Conclusion.mp4
11.83MB
9. Appendix/10. What order should I take your courses in (part 1).mp4
88.41MB
9. Appendix/11. What order should I take your courses in (part 2).mp4
123MB
9. Appendix/12. [Bonus] Where to get discount coupons and FREE deep learning material.mp4
22.49MB
9. Appendix/1. What is the Appendix.mp4
25.44MB
9. Appendix/2. Windows-Focused Environment Setup 2018.mp4
194.35MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
167.01MB
9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
117.69MB
9. Appendix/5. How to Succeed in this Course (Long Version).mp4
39.25MB
9. Appendix/6. How to Code by Yourself (part 1).mp4
82.57MB
9. Appendix/7. How to Code by Yourself (part 2).mp4
56.69MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78.29MB
9. Appendix/9. Python 2 vs Python 3.mp4
30.25MB
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