:Search:

Udemy The Ultimate Guide For Automated Machine Learning Testing

Torrent:
Info Hash: 0E41DC92206BCB0446DC982AFC318FBBD65B4C23
Similar Posts:
Uploader: freecoursewb
Source: 1 Logo 1337x
Downloads: 1063
Type: Tutorials
Language: English
Category: Other
Size: 1.1 GB
Added: Feb. 21, 2025, 8:03 p.m.
Peers: Seeders: 22, Leechers: 2 (Last updated: 10 months, 4 weeks ago)
Tracker Data:
Tracker Seeders Leechers Completed
udp://tracker.opentrackr.org:1337/announce 10 1 531
udp://tracker.openbittorrent.com:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.internetwarriors.net:1337/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.leechers-paradise.org:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.coppersurfer.tk:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://exodus.desync.com:6969/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.therarbg.to:6969/announce 0 0 0
udp://tracker.tiny-vps.com:6969/announce 3 0 27
udp://open.demonii.si:1337/announce (Failed to scrape UDP tracker) 0 0 0
udp://tracker.torrent.eu.org:451/announce 9 1 505
Files:
  1. Get Bonus Downloads Here.url 180 bytes
  2. 1 - Introduction.mp4 10.1 MB
  3. 63 - Introduction to Model Monitoring.mp4 8.6 MB
  4. 64 - Automating Monitoring and Maintenance.mp4 6.2 MB
  5. 65 - Tools for Monitoring.mp4 7.8 MB
  6. 66 - Hands on Detecting Data drift with Evidently AI.mp4 12.9 MB
  7. 67 - Setting Up Alerts Triggers with Prometheus Grafana.mp4 9.2 MB
  8. 68 - E2E Automated Monitoring and Alerts for ML Models.mp4 22.7 MB
  9. 69 - Key TakeAways.mp4 7.6 MB
  10. 2 - What is Machine Learning.mp4 19.8 MB
  11. 3 - Various types of ML.mp4 27.6 MB
  12. 4 - The ML workflow Data collection preprocessing model training and evaluation.mp4 18.3 MB
  13. 10 - Checklist of ML Test strategy Template.mp4 12.3 MB
  14. 11 - Choosing the Right Metrics for testing.mp4 10.7 MB
  15. 12 - Introduction to Test Automation in ML.mp4 18.6 MB
  16. 13 - Challenges in ML Automation Testing.mp4 12.6 MB
  17. 14 - Automated Testing pipeline.mp4 10.8 MB
  18. 15 - Best Practices for Test Automation in ML.mp4 10.4 MB
  19. 5 - Understanding ML testing.mp4 8.7 MB
  20. 6 - ML testing as a Process.mp4 14.4 MB
  21. 7 - Key differences between Traditional and ML testing.mp4 7.8 MB
  22. 8 - Challenges with ML Testing.mp4 18.8 MB
  23. 9 - Introduction to Test Strategy in ML.mp4 35.2 MB
  24. 16 - Introduction to Data Testing in ML.mp4 21.0 MB
  25. 17 - Writing Automated Tests for Data Quality.mp4 9.2 MB
  26. 18 - Hands on Exercise Writing test scripts for missing data duplicates outliers.mp4 36.1 MB
  27. 19 - Ensuring Consistency in Data Distribution.mp4 9.7 MB
  28. 20 - Hands on Exercise Automation test scripts for Data Distribution.mp4 43.6 MB
  29. 21 - Hands on Exercise Automation test scripts for Data Drift.mp4 48.0 MB
  30. 22 - Hands on Exercise Automation test scripts for Feature engineer.mp4 16.9 MB
  31. 23 - Tools for Data Testing.mp4 9.7 MB
  32. 24 - Setting up Robust Testing Framework.mp4 21.3 MB
  33. 25 - Key Concepts Overfitting Underfitting BiasVariance Tradeoff.mp4 40.9 MB
  34. 26 - Regression Metrics MAE MSE RMSE R.mp4 16.6 MB
  35. 27 - Classification Metrics Confusion Matrix Accuracy Precision Recall F1Score.mp4 29.9 MB
  36. 28 - Classification Metrics ROC and AUC.mp4 18.1 MB
  37. 29 - Evaluation Metrics for Unsupervised Learning Silhouette score and Elbow method.mp4 51.5 MB
  38. 30 - Writing Automated Tests for Model Evaluation.mp4 20.0 MB
  39. 31 - Handson Exercise Training Evaluating a Model Using ScikitLearn.mp4 8.9 MB
  40. 32 - Hands on Exercise Automated tests for Classification Metrics.mp4 14.4 MB
  41. 33 - Hands on Exercise Automated tests for Regression Metrics.mp4 10.8 MB
  42. 34 - Hands on Exercise Automated tests for Clustering Metrics.mp4 11.4 MB
  43. 35 - Organising the tests.mp4 11.7 MB
  44. 36 - Using TFMA for TensorFlow Models.mp4 11.2 MB
  45. 37 - The concept of Generalization in ML models.mp4 11.1 MB
  46. 38 - CrossValidation Explained.mp4 4.3 MB
  47. 39 - Understanding kfold crossvalidation and its importance.mp4 6.1 MB
  48. 40 - Hands on Automating CrossValidation Testing.mp4 13.1 MB
  49. 41 - Hands on Evaluating model generalization across multiple data splits.mp4 15.4 MB
  50. 42 - Tools for CrossValidation Using Scikitlearn for automated crossvalidation.mp4 13.6 MB
  51. 43 - Introduction to Robustness Testing.mp4 25.7 MB
  52. 44 - Automating Edge Case and Noise Testing.mp4 6.3 MB
  53. 45 - Hands on Writing automated tests for Edge cases in data.mp4 20.7 MB
  54. 46 - Hands on Writing automated tests for Noise in data.mp4 12.1 MB
  55. 47 - Hands on Generating adversarial examples for testing model robustness.mp4 30.0 MB
  56. 48 - Tools for Robustness Testing.mp4 12.5 MB
  57. 49 - Understanding Fairness and Bias in ML.mp4 12.4 MB
  58. 50 - Detecting and mitigating bias in ML.mp4 10.1 MB
  59. 51 - Automated Tests for Fairness and Bias.mp4 8.9 MB
  60. 52 - Tools for Fairness Testing.mp4 19.7 MB
  61. 53 - Hands on Exercise Automating Fairness testing using AIF 360.mp4 24.1 MB
  62. 54 - Hands on Exercise Automated Fairness Test Script using Fairlearn.mp4 24.0 MB
  63. 55 - Integrating Fairness tests into CICD pipeline.mp4 8.7 MB
  64. 56 - Introduction to Deployment Testing.mp4 19.7 MB
  65. 57 - Introduction to Automated Deployment Testing.mp4 5.7 MB
  66. 58 - Hands on Writing Automated API Tests with Pytest.mp4 5.4 MB
  67. 59 - Tools for Deployment Testing.mp4 4.1 MB
  68. 60 - Hands on Postman API Test Automation.mp4 5.4 MB
  69. 61 - Hands on Performance Testing ML Apis with Locust.mp4 12.8 MB
  70. 62 - Hands on Security Testing for Unauthorized Access Injection Attacks.mp4 7.2 MB
  71. Bonus Resources.txt 70 bytes

Discussion