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Explores sources of unfairness in machine learning, the importance of fairness metrics, and evaluating model predictions using various fairness metrics.
Covers the basics of Natural Language Processing, including tokenization, part-of-speech tagging, and embeddings, and explores practical applications like sentiment analysis.
Explores optical transitions in semiconductors, including K-Selection Rule, bandgap importance, electromagnetic field effects, Fermi golden rule, and absorption coefficients.
