https://www.coursera.org/learn/machine-learning
- Machine Learning
- Supervised Learning (correct answers / labels are given by humans)
- Regression (e.g., predict continuous valued output like estimated sales figures or prices)
- Classification (discrete valued output, e.g., 0 or 1, benign or malignant, etc.)
- Unsupervised Learning
- e.g., given a set of news articles found on the web, group them into set of articles about the same story
- e.g., automatically discover market segments
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