LA535 | CE1D59625024DD41B6D30B1941F6BEEF60874FCD

LA535

Name	LA535	DOWNLOAD Copy Link
Total Size	3.8 GB
Total Files	48
Hash	CE1D59625024DD41B6D30B1941F6BEEF60874FCD

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1. An Important Note About A Cloud Guru and Linux Academy Courses.mp4	54.2 MB
10. Exam Essentials and References.mp4	63.5 MB
11. An Introduction to Terminology.mp4	110.2 MB
12. How to Select Algorithms in Azure Machine Learning.mp4	86.1 MB
13. Text Analytics.mp4	163.7 MB
14. Regression.mp4	173.7 MB
15. Multiclass Classification.mp4	225.2 MB
16. Image Classification.mp4	126.3 MB
17. Anomaly Detection.mp4	95.2 MB
18. Clustering.mp4	92.6 MB
19. Recommenders.mp4	63.5 MB
2. Course Introduction.mp4	30.6 MB
20. Exam Essentials and References.mp4	57.8 MB
21. An Introduction to Feature Selection.mp4	106.8 MB
22. Intro to Feature Extraction.mp4	99.7 MB
23. Pearson's Correlation.mp4	41.5 MB
24. Mutual Information Score.mp4	82.2 MB
25. Kendall's Correlation Coefficient.mp4	67.5 MB
26. Spearman's Correlation Coefficient.mp4	79.2 MB
27. Chi-Squared Statistic.mp4	41.1 MB
28. Fisher Score.mp4	48.1 MB
29. Count-Based Feature Selection.mp4	40.6 MB
3. About the Training Architect.mp4	13.3 MB
30. Exam Essentials and References.mp4	127.2 MB
31. Introduction to Neural Networks.mp4	65.4 MB
32. RNN.mp4	36.3 MB
33. DNN.mp4	43.0 MB
34. CNN.mp4	39.0 MB
35. SMOTE.mp4	99.3 MB
36. Exam Essentials and References.mp4	32.7 MB
37. Azure Machine Learning SDK Introduction.mp4	51.4 MB
38. Create an Experiment with SDK.mp4	32.4 MB
39. Consume Data from a Datastore with SDK.mp4	48.6 MB
4. Using the DP-100 Essentials Guide.mp4	20.4 MB
40. Consume Data from a Data Set with SDK.mp4	63.7 MB
41. Choosing an Estimator in Azure Machine Learning .mp4	49.0 MB
42. Exam Essentials and References.mp4	23.8 MB
43. Logging Metrics from an Experiment Run .mp4	275.8 MB
44. Retrieving and Viewing Experiment Outputs.mp4	224.6 MB
45. Using Logs to Troubleshoot Experiment Run Errors.mp4	310.4 MB
46. Exam Essentials and References.mp4	27.5 MB
47. Review and Final Notes.mp4	34.1 MB
48. What's Next.mp4	21.4 MB
5. About the Exam.mp4	25.3 MB
6. A Note on Data Science and Mathematics.mp4	29.4 MB
7. A Refresh on Azure Machine Learning Pipelines.mp4	57.7 MB
8. Designer Modules to Define Pipeline Data Flow.mp4	104.6 MB
9. Using Custom Code Modules in Designer.mp4	34.5 MB
Total files 48