Machine learning is the field of study that enables computers to learn without being explicitly programmed. It involves developing algorithms that learn from data to improve performance on specific tasks over time.
Applications for machine learning in data science
- Finding oil fields, gold mines, or archaeological sites based on existing data (classification and regression).
- Identifying place names or persons in text (classification).
- Recognizing people based on pictures or voice recordings (classification).
- Identifying profitable customers (regression and classification).
- Predicting diseases, tumor detection (classification).
- Predicting consumer behavior (regression).
- Predicting natural events like volcanic eruptions (regression).
- Understanding and optimizing business processes through root cause analysis.
- Discovering causes of phenomena like diabetes or traffic jams.
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