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

Torrent Hash:
1DCA37E8DB24F33437B3E2E63A250099AC69B11C
Number of Files:
150
Content Size:
3.05GB
Convert On:
2019-07-15
Keywords:
FTUForumcomUDEMYMachineLearningandAISupportVectorMachinesinPythonFTU
Magnet Link:
Download
Play Now
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File Name
Size
1. Welcome/1. Introduction.mp4
16.15MB
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1. Welcome/1. Introduction.vtt
2.69KB
1. Welcome/2. Course Objectives.mp4
37.24MB
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1. Welcome/2. Course Objectives.vtt
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1. Welcome/3. Course Outline.mp4
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1. Welcome/3. Course Outline.vtt
6.68KB
1. Welcome/4. Where to get the code and data.mp4
39.03MB
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1. Welcome/4. Where to get the code and data.vtt
6.98KB
2. Beginner_s Corner/1. Beginner_s Corner Section Introduction.mp4
34.01MB
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2. Beginner_s Corner/1. Beginner_s Corner Section Introduction.vtt
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2. Beginner_s Corner/2. Image Classification with SVMs.mp4
36.49MB
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2. Beginner_s Corner/2. Image Classification with SVMs.vtt
6.37KB
2. Beginner_s Corner/3. Spam Detection with SVMs.mp4
101.47MB
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2. Beginner_s Corner/3. Spam Detection with SVMs.vtt
12.42KB
2. Beginner_s Corner/4. Medical Diagnosis with SVMs.mp4
47.91MB
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2. Beginner_s Corner/4. Medical Diagnosis with SVMs.vtt
6.05KB
2. Beginner_s Corner/5. Regression with SVMs.mp4
50.9MB
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2. Beginner_s Corner/5. Regression with SVMs.vtt
5.63KB
2. Beginner_s Corner/6. Cross-Validation.mp4
54.63MB
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2. Beginner_s Corner/6. Cross-Validation.vtt
8.33KB
2. Beginner_s Corner/7. How do you get the data How do you process the data.mp4
28.83MB
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2. Beginner_s Corner/7. How do you get the data How do you process the data.vtt
6.68KB
3. Review of Linear Classifiers/1. Basic Geometry.mp4
46.61MB
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3. Review of Linear Classifiers/1. Basic Geometry.vtt
11.41KB
3. Review of Linear Classifiers/2. Normal Vectors.mp4
14.8MB
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3. Review of Linear Classifiers/2. Normal Vectors.vtt
3.64KB
3. Review of Linear Classifiers/3. Logistic Regression Review.mp4
39.9MB
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3. Review of Linear Classifiers/3. Logistic Regression Review.vtt
10.69KB
3. Review of Linear Classifiers/4. Loss Function and Regularization.mp4
16.15MB
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3. Review of Linear Classifiers/4. Loss Function and Regularization.vtt
4.3KB
3. Review of Linear Classifiers/5. Prediction Confidence.mp4
30.65MB
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3. Review of Linear Classifiers/5. Prediction Confidence.vtt
7.92KB
3. Review of Linear Classifiers/6. Nonlinear Problems.mp4
47.05MB
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3. Review of Linear Classifiers/6. Nonlinear Problems.vtt
10.41KB
3. Review of Linear Classifiers/7. Linear Classifiers Section Conclusion.mp4
19.29MB
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3. Review of Linear Classifiers/7. Linear Classifiers Section Conclusion.vtt
4.69KB
4. Linear SVM/10. Linear SVM Section Summary.mp4
18.99MB
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4.88KB
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3.74KB
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4. Linear SVM/3. Margins.mp4
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4. Linear SVM/3. Margins.vtt
8.56KB
4. Linear SVM/4. Linear SVM Objective.mp4
49.17MB
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11.64KB
4. Linear SVM/5. Linear and Quadratic Programming.mp4
64.22MB
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4. Linear SVM/5. Linear and Quadratic Programming.vtt
13.19KB
4. Linear SVM/6. Slack Variables.mp4
38.68MB
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4. Linear SVM/6. Slack Variables.vtt
7.95KB
4. Linear SVM/7. Hinge Loss (and its Relationship to Logistic Regression).mp4
29.69MB
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4. Linear SVM/7. Hinge Loss (and its Relationship to Logistic Regression).vtt
6.68KB
4. Linear SVM/8. Linear SVM with Gradient Descent.mp4
15.68MB
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4. Linear SVM/8. Linear SVM with Gradient Descent.vtt
3.13KB
4. Linear SVM/9. Linear SVM with Gradient Descent (Code).mp4
51.93MB
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4. Linear SVM/9. Linear SVM with Gradient Descent (Code).vtt
5.31KB
5. Duality/1. Duality Section Introduction.mp4
14.72MB
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5. Duality/1. Duality Section Introduction.vtt
4.22KB
5. Duality/2. Duality and Lagrangians (part 1).mp4
58.69MB
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13.63KB
5. Duality/3. Lagrangian Duality (part 2).mp4
29.19MB
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6.74KB
5. Duality/4. Relationship to Linear Programming.mp4
20.12MB
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5. Duality/4. Relationship to Linear Programming.vtt
4.55KB
5. Duality/5. Predictions and Support Vectors.mp4
38.88MB
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5. Duality/5. Predictions and Support Vectors.vtt
9.57KB
5. Duality/6. Why Transform Primal to Dual.mp4
16.93MB
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5. Duality/6. Why Transform Primal to Dual.vtt
3.75KB
5. Duality/7. Duality Section Conclusion.mp4
13.22MB
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7. Implementations and Extensions/7. Support Vector Regression.mp4
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7. Implementations and Extensions/8. Multiclass Classification.mp4
19.08MB
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7. Implementations and Extensions/8. Multiclass Classification.vtt
4.89KB
8. Neural Networks (Beginner_s Corner 2)/1. Neural Networks Section Introduction.mp4
15.61MB
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8. Neural Networks (Beginner_s Corner 2)/1. Neural Networks Section Introduction.vtt
3.07KB
8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.mp4
79.54MB
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8. Neural Networks (Beginner_s Corner 2)/2. RBF Networks.vtt
17.03KB
8. Neural Networks (Beginner_s Corner 2)/3. RBF Approximations.mp4
44.41MB
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9.37KB
8. Neural Networks (Beginner_s Corner 2)/4. What Happened to Infinite Dimensionality.mp4
12.57MB
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2.9KB
8. Neural Networks (Beginner_s Corner 2)/5. Build Your Own RBF Network.mp4
39.11MB
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3.98KB
8. Neural Networks (Beginner_s Corner 2)/6. Relationship to Deep Learning Neural Networks.mp4
33.75MB
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7.78KB
8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.mp4
72.29MB
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8. Neural Networks (Beginner_s Corner 2)/7. Neural Network-SVM Mashup.vtt
7.27KB
8. Neural Networks (Beginner_s Corner 2)/8. Neural Networks Section Conclusion.mp4
11.83MB
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8. Neural Networks (Beginner_s Corner 2)/8. Neural Networks Section Conclusion.vtt
2.83KB
9. Appendix/10. What order should I take your courses in (part 1).mp4
88.41MB
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9. Appendix/10. What order should I take your courses in (part 1).vtt
14.17KB
9. Appendix/11. What order should I take your courses in (part 2).mp4
123MB
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9. Appendix/11. What order should I take your courses in (part 2).vtt
20.24KB
9. Appendix/12. [Bonus] Where to get discount coupons and FREE deep learning material.mp4
22.49MB
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9. Appendix/12. [Bonus] Where to get discount coupons and FREE deep learning material.vtt
2.91KB
9. Appendix/1. What is the Appendix.mp4
25.44MB
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9. Appendix/1. What is the Appendix.vtt
3.29KB
9. Appendix/2. Windows-Focused Environment Setup 2018.mp4
194.35MB
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9. Appendix/2. Windows-Focused Environment Setup 2018.vtt
17.34KB
9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.mp4
167.01MB
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9. Appendix/3. How to install Numpy, Scipy, Matplotlib, Pandas, IPython, Theano, and TensorFlow.vtt
12.59KB
9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.mp4
117.69MB
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9. Appendix/4. Is this for Beginners or Experts Academic or Practical Fast or slow-paced.vtt
27.68KB
9. Appendix/5. How to Succeed in this Course (Long Version).mp4
39.25MB
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9. Appendix/5. How to Succeed in this Course (Long Version).vtt
12.83KB
9. Appendix/6. How to Code by Yourself (part 1).mp4
82.57MB
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9. Appendix/6. How to Code by Yourself (part 1).vtt
19.38KB
9. Appendix/7. How to Code by Yourself (part 2).mp4
56.69MB
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9. Appendix/7. How to Code by Yourself (part 2).vtt
11.44KB
9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.mp4
78.29MB
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9. Appendix/8. Proof that using Jupyter Notebook is the same as not using it.vtt
12.31KB
9. Appendix/9. Python 2 vs Python 3.mp4
30.25MB
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9. Appendix/9. Python 2 vs Python 3.vtt
5.35KB
Discuss.FTUForum.com.html
31.89KB
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108.3KB
FTUForum.com.html
100.44KB
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235B
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524B
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