Machine learning is a subfield of artificial intelligence (AI). AI encompasses a broad range of techniques and methodologies aimed at creating intelligent systems that can perform tasks that typically require human intelligence. Machine learning is a specific approach within AI that focuses on designing algorithms and models that enable computers to learn from and make predictions or decisions based on data, without being explicitly programmed.
In other words, machine learning is a method used to build AI systems. It involves training a model with large amounts of data, allowing the model to recognize patterns, make predictions, or take actions based on the patterns it has learned. Machine learning algorithms can automatically adjust and improve their performance as they are exposed to more data, which is known as "learning."
Machine learning is a crucial component of many AI applications, including natural language processing, computer vision, speech recognition, recommendation systems, and autonomous vehicles, among others. By leveraging machine learning techniques, AI systems can adapt, generalize, and improve their performance over time, making them more intelligent and capable of tackling complex tasks.
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