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Explores event time vs. processing time, stream processing operations, stream-stream joins, and handling late/out-of-order data in data stream processing.
Covers the basics of Natural Language Processing, including tokenization, part-of-speech tagging, and embeddings, and explores practical applications like sentiment analysis.
Focuses on implementing a type checker for Amy, covering name and type analysis, typing constraints generation, and the importance of type checking in compilation.
