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

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

Create Tool:

Create Time:1970-01-01 08:00:00

File Size:3.05 GB

File Count:150

File Hash:1dca37e8db24f33437b3e2e63a250099ac69b11c

Magnet Link:

Magnet Link:

Torrent File:

1. Welcome/1. Introduction.mp4 16.15 MB
1. Welcome/1. Introduction.vtt 2.69 KB
1. Welcome/2. Course Objectives.mp4 37.24 MB
1. Welcome/2. Course Objectives.vtt 5.72 KB
1. Welcome/3. Course Outline.mp4 31.30 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 34.01 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 50.90 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 14.80 MB
3. Review of Linear Classifiers/2. Normal Vectors.vtt 3.64 KB
3. Review of Linear Classifiers/3. Logistic Regression Review.mp4 39.90 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 4.30 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/10. Linear SVM Section Summary.mp4 18.99 MB
4. Linear SVM/10. Linear SVM Section Summary.vtt 4.88 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/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 4.40 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 11.20 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 83.60 MB
7. Implementations and Extensions/3. SVM with Projected Gradient Descent Code.vtt 7.80 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 2.90 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/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 123.00 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 22.49 MB
9. Appendix/12. [Bonus] Where to get discount coupons and FREE deep learning material.vtt 2.91 KB
9. Appendix/1. What is the Appendix.mp4 25.44 MB
9. Appendix/1. What is the Appendix.vtt 3.29 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 30.25 MB
9. Appendix/9. Python 2 vs Python 3.vtt 5.35 KB
Discuss.FTUForum.com.html 31.89 KB
FreeCoursesOnline.Me.html 108.30 KB
FTUForum.com.html 100.44 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
https://opentracker.xyz:443/announce
https://t.quic.ws:443/announce
https://tracker.fastdownload.xyz:443/announce
udp://9.rarbg.to:2710/announce
udp://coppersurfer.tk:6969/announce
udp://hk1.opentracker.ga:6969/announce
udp://ipv4.tracker.harry.lu:80/announce
udp://open.stealth.si:80/announce
udp://tracker.coppersurfer.tk:6969/announce
udp://tracker.cyberia.is:6969/announce
udp://tracker.internetwarriors.net:1337/announce
udp://tracker.leechers-paradise.org:6969/announce
udp://tracker.opentrackr.org:1337/announce
udp://tracker.torrent.eu.org:451/announce
udp://tracker.zer0day.to:1337/announce

TorrentBank
Copyright © 2024