Q1. Explain the reasons for machines to learn.
Q2. What is expected of a machine?
Q3. What is the use of statistical methods in machine learning?
Q4. What is the difference between supervised and unsupervised learning? Q5. What is reinforcement learning? Give a real-life example.
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1 .Machine learning is an application of artificial intelligence (AI) that provides systems the ability to automatically learn and improve from experience without being explicitly programmed. Machine learning focuses on the development of computer programs that can access data and use it to learn for themselves.
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A machine learning model is a file that has been trained to recognize certain types of patterns. You train a model over a set of data, providing it an algorithm that it can use to reason over and learn from those data
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