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Clustering similar data points together is an example.\\n* **Reinforcement Learning:** The algorithm learns through trial and error by interacting with an environment. It receives rewards for desirable actions and penalties for undesirable ones. This is commonly used in game playing AI and robotics.\\n\\n**2. Deep Learning (DL):** This is a subfield of ML that uses artificial neural networks with multiple layers (hence \\\"deep\\\"). These networks are inspired by the structure and function of the human brain. DL excels at tasks involving complex patterns and large datasets, such as image recognition, natural language processing, and speech recognition.\\n\\n**3. Expert Systems:** These AI systems mimic the decision-making ability of a human expert in a specific domain. They are based on a set of rules and knowledge provided by experts. While powerful within their limited domain, they are brittle and struggle with situations outside their programmed knowledge base.\\n\\n**4. 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Please let me know how I can further assist you.\n"}],"_postman_id":"9e1d29da-90c1-4c71-927d-98c9a9f73a6c"}]}