Abdullah Şamil Güser

Udemy AWS MLS-C01 Notes

Sections

  1. Introduction and Housekeeping
  2. Sagemaker Housekeeping
  3. Machine Learning Concepts
  4. Model Performance Evaluation
  5. Sagemaker Service Overview
  6. Sagemaker Service and SDK Changes
  7. XGBoost Gradient Boosted Trees
  8. Invoke Model Endpoint from External Cliens
  9. Endpoint Changes with Zero Downtime
  10. Emerging AI Trends and Social Issues
  11. Cloud Security and Access Management
  12. Principal Component Analysis (PCA)
  13. Recommender Systems - Factorization Machines
  14. Model Optimization and Hyperparameter Tuning
  15. Time Series Forecasting - DeepAR
  16. Anomaly Detection - Random Cut Forest
  17. Generative AI Solutions
  18. Artificial Intelligence (AI) Services
  19. S3 Data Lake Architecture - Data Consolidation
  20. Deep Learning and Neural Networks
  21. Bring Your Own Algorithm
  22. Storage for Servers
  23. AWS - Support Plans and Feedback
  24. Databases on AWS
  25. On-Premises usage and other technologies
  26. Practice Exam - AWS Certified Machine Learning Specialty
  27. Other Resources

References