The fundamental subfield of artificial intelligence known as machine learning focuses on making it possible for systems to learn patterns from data and enhance their performance without being explicitly programmed. Machine learning models are able to support decision-making across a variety of domains, analyze massive datasets, make predictions, and use algorithms like supervised, unsupervised, and reinforcement learning. Image recognition, natural language processing, recommendation systems, and predictive analytics are just a few of the many areas where machine learning can be used to solve real-world problems. Say the word and I’ll modify it if you want it to be simpler, more technical, or tailored to a specific subject (such as neural networks, overfitting or applications in the real world).
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