1. Healthcare
   In healthcare, ML algorithms analyze medical records, predict disease outbreaks, assist in diagnostics, and personalize treatment plans. For instance, predictive analytics can help identify patients at risk for certain conditions, leading to proactive interventions.

2. Finance
   In finance, machine learning is used for credit scoring, fraud detection, algorithmic trading, and risk management. By analyzing historical data, ML models can identify patterns that indicate potential fraudulent activities.

3. Marketing
   Machine learning enables personalized marketing strategies by analyzing consumer behavior and preferences. Algorithms can segment customers, predict purchasing behaviors, and optimize marketing campaigns for better engagement.

4. Autonomous Vehicles
   Self-driving cars leverage machine learning to interpret sensory data and make real-time decisions. By analyzing data from cameras, radar, and lidar, these systems can identify obstacles, navigate roads, and ensure passenger safety.

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