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[FTUForum.com] [UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]
magnet:?xt=urn:btih:1dca37e8db24f33437b3e2e63a250099ac69b11c&dn=[FTUForum.com] [UDEMY] Machine Learning and AI Support Vector Machines in Python [FTU]
磁力链接详情
Hash值:
1dca37e8db24f33437b3e2e63a250099ac69b11c
点击数:
183
文件大小:
3.05 GB
文件数量:
72
创建日期:
2019-6-21 09:46
最后访问:
2024-5-11 01:02
访问标签:
FTUForum
com
UDEMY
Machine
Learning
and
AI
Support
Vector
Machines
in
Python
FTU
文件列表详情
1. Welcome/1. Introduction.mp4 16.15 MB
1. Welcome/2. Course Objectives.mp4 37.24 MB
1. Welcome/3. Course Outline.mp4 31.3 MB
1. Welcome/4. Where to get the code and data.mp4 39.03 MB
2. Beginner_s Corner/1. Beginner_s Corner Section Introduction.mp4 34.01 MB
2. Beginner_s Corner/2. Image Classification with SVMs.mp4 36.49 MB
2. Beginner_s Corner/3. Spam Detection with SVMs.mp4 101.47 MB
2. Beginner_s Corner/4. Medical Diagnosis with SVMs.mp4 47.91 MB
2. Beginner_s Corner/5. Regression with SVMs.mp4 50.9 MB
2. Beginner_s Corner/6. Cross-Validation.mp4 54.63 MB
2. Beginner_s Corner/7. How do you get the data How do you process the data.mp4 28.83 MB
3. Review of Linear Classifiers/1. Basic Geometry.mp4 46.61 MB
3. Review of Linear Classifiers/2. Normal Vectors.mp4 14.8 MB
3. Review of Linear Classifiers/3. Logistic Regression Review.mp4 39.9 MB
3. Review of Linear Classifiers/4. Loss Function and Regularization.mp4 16.15 MB
3. Review of Linear Classifiers/5. Prediction Confidence.mp4 30.65 MB
3. Review of Linear Classifiers/6. Nonlinear Problems.mp4 47.05 MB
3. Review of Linear Classifiers/7. Linear Classifiers Section Conclusion.mp4 19.29 MB
4. Linear SVM/10. Linear SVM Section Summary.mp4 18.99 MB
4. Linear SVM/1. Linear SVM Section Introduction and Outline.mp4 17.68 MB
4. Linear SVM/2. Linear SVM Problem Setup and Definitions.mp4 22.84 MB
4. Linear SVM/3. Margins.mp4 41.49 MB
4. Linear SVM/4. Linear SVM Objective.mp4 49.17 MB
4. Linear SVM/5. Linear and Quadratic Programming.mp4 64.22 MB
4. Linear SVM/6. Slack Variables.mp4 38.68 MB
4. Linear SVM/7. Hinge Loss (and its Relationship to Logistic Regression).mp4 29.69 MB
4. Linear SVM/8. Linear SVM with Gradient Descent.mp4 15.68 MB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4 51.93 MB
5. Duality/1. Duality Section Introduction.mp4 14.72 MB
5. Duality/2. Duality and Lagrangians (part 1).mp4 58.69 MB
5. Duality/3. Lagrangian Duality (part 2).mp4 29.19 MB
5. Duality/4. Relationship to Linear Programming.mp4 20.12 MB
5. Duality/5. Predictions and Support Vectors.mp4 38.88 MB
5. Duality/6. Why Transform Primal to Dual.mp4 16.93 MB
5. Duality/7. Duality Section Conclusion.mp4 13.22 MB
6. Kernel Methods/1. Kernel Methods Section Introduction.mp4 19.13 MB
6. Kernel Methods/2. The Kernel Trick.mp4 37.25 MB
6. Kernel Methods/3. Polynomial Kernel.mp4 25.37 MB
6. Kernel Methods/4. Gaussian Kernel.mp4 26.96 MB
6. Kernel Methods/5. Using the Gaussian Kernel.mp4 36.01 MB
6. Kernel Methods/6. Why does the Gaussian Kernel correspond to infinite-dimensional features.mp4 19.85 MB
6. Kernel Methods/7. Other Kernels.mp4 32.44 MB
6. Kernel Methods/8. Mercer_s Condition.mp4 27.57 MB
6. Kernel Methods/9. Kernel Methods Section Summary.mp4 11.14 MB
7. Implementations and Extensions/1. Dual with Slack Variables.mp4 38.93 MB
7. Implementations and Extensions/2. Simple Approaches to Implementation.mp4 24.65 MB
7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.mp4 83.6 MB
7. Implementations and Extensions/4. Kernel SVM Gradient Descent with Primal (Theory).mp4 21.35 MB
7. Implementations and Extensions/5. Kernel SVM Gradient Descent with Primal (Code).mp4 58.72 MB
7. Implementations and Extensions/6. SMO (Sequential Minimal Optimization).mp4 41.42 MB
7. Implementations and Extensions/7. Support Vector Regression.mp4 27.24 MB
7. Implementations and Extensions/8. Multiclass Classification.mp4 19.08 MB
8. Neural Networks (Beginner_s Corner 2)/1. Neural Networks Section Introduction.mp4 15.61 MB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4 79.54 MB
8. Neural Networks (Beginner_s Corner 2)/3. RBF Approximations.mp4 44.41 MB
8. Neural Networks (Beginner_s Corner 2)/4. What Happened to Infinite Dimensionality.mp4 12.57 MB
8. Neural Networks (Beginner_s Corner 2)/5. Build Your Own RBF Network.mp4 39.11 MB
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)/7. Neural Network-SVM Mashup.mp4 72.29 MB
8. Neural Networks (Beginner_s Corner 2)/8. Neural Networks Section Conclusion.mp4 11.83 MB
9. Appendix/10. What order should I take your courses in (part 1).mp4 88.41 MB
9. Appendix/11. What order should I take your courses in (part 2).mp4 123 MB
9. Appendix/12. [Bonus] Where to get discount coupons and FREE deep learning material.mp4 22.49 MB
9. Appendix/1. What is the Appendix.mp4 25.44 MB
9. Appendix/2. Windows-Focused Environment Setup 2018.mp4 194.35 MB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4 167.01 MB
9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4 117.69 MB
9. Appendix/5. How to Succeed in this Course (Long Version).mp4 39.25 MB
9. Appendix/6. How to Code by Yourself (part 1).mp4 82.57 MB
9. Appendix/7. How to Code by Yourself (part 2).mp4 56.69 MB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4 78.29 MB
9. Appendix/9. Python 2 vs Python 3.mp4 30.25 MB
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