Machine learning is a subset of artificial intelligence (AI) focused on developing algorithms that enable computers to learn from data and make predictions or decisions without explicit programming. As per an institute of Artificial Intelligence Course in GTB Nagar, Delhi, machine learning allows systems to improve their performance as they are exposed to more data over time. For instance, a machine learning model can analyze past sales data to predict future trends, helping businesses make informed decisions.
The relationship between machine learning and AI is like that of a tool to a toolbox. AI is the broader concept that encompasses the creation of intelligent machines that can simulate human behavior, incl...
Machine learning is a subset of artificial intelligence (AI) focused on developing algorithms that enable computers to learn from data and make predictions or decisions without explicit programming. As per an institute of Artificial Intelligence Course in GTB Nagar, Delhi, machine learning allows systems to improve their performance as they are exposed to more data over time. For instance, a machine learning model can analyze past sales data to predict future trends, helping businesses make informed decisions.
The relationship between machine learning and AI is like that of a tool to a toolbox. AI is the broader concept that encompasses the creation of intelligent machines that can simulate human behavior, including problem-solving and learning. Machine learning, on the other hand, is one of the key techniques within AI that drives this capability.
While AI can include rule-based systems and other methods, machine learning relies on statistical techniques to identify patterns and learn from data. This distinction makes machine learning particularly powerful in handling large datasets, enabling applications such as natural language processing, image recognition, and recommendation systems.
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