🤖 Master the fundamentals of Amazon SageMaker for the AWS Machine Learning Associate exam.

📌 IN THIS VIDEO:

✅ SageMaker Built-in Algorithms
- Pre-built, optimized algorithms for various use cases
- Covers: Classification, Regression, Forecasting, NLP, Computer Vision
- No need to write custom training scripts
- "Cheat sheet" maps use cases to algorithms

✅ SageMaker Input Modes
- File Mode – Downloads entire dataset to EBS (most common)
- Pipe Mode – Streams data directly from S3 (faster, saves storage)
- FastFile Mode – Streams with file system access (no code changes)

✅ Linear Learner in SageMaker
- Supervised learning for Classification or Regression
- Works on tabular data (CSV, RecordIO)
- Automatically explores multiple objectives (MSE, F1 score)
- Selects best model from validation set

🎯 EXAM TIPS:
- Pipe Mode is faster for large datasets
- Linear Learner uses a linear function (or threshold) for predictions
- Input formats: CSV and RecordIO-protobuf

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