Machine learning is a type of artificial intelligence (AI) that allows computer systems to automatically learn and improve from experience without being explicitly programmed. In other words, it is a set of techniques and algorithms that enable computers to learn patterns in data and make predictions or decisions based on that data.

Machine learning is used in many different ways in day-to-day life, often without people even realizing it. Here are some examples:

1. Personalized recommendations: Companies like Amazon, Netflix, and Spotify use machine learning to analyze user data and make personalized recommendations based on a user’s viewing or listening history.
2. Fraud detection: Machine learning is used by banks and credit card companies to detect and prevent fraudulent transactions by analyzing patterns in transaction data.
3. Speech recognition: Voice assistants like Siri and Alexa use machine learning to recognize and understand human speech and respond accordingly.
4. Image and object recognition: Machine learning is used in applications like facial recognition and self-driving cars to analyze and interpret visual data.
5. Medical diagnosis: Machine learning is increasingly being used in healthcare to assist in medical diagnosis, such as predicting patient outcomes and recommending treatments based on patient data.

Overall, machine learning has a wide range of applications in day-to-day life, from recommending movies to saving lives through medical diagnoses.

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rajeevshivanaresh

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