Artificial Intelligence
AI (Artificial Intelligence) and ML (Machine Learning) are two buzzwords that have gained a lot of attention in recent years. AI refers to the simulation of human intelligence in machines that are programmed to think and learn like humans. It involves the development of intelligent agents that can perceive their environment and make decisions based on that perception. ML is a subset of AI that focuses on the development of algorithms and statistical models that enable machines to learn from data without being explicitly programmed.
Introduction
ML is a subfield of AI that focuses specifically on algorithms that enable machines to learn from data. The basic idea behind ML is to develop algorithms that can automatically identify patterns in data and make predictions based on those patterns. There are many different types of ML algorithms, including supervised learning, unsupervised learning, and reinforcement learning.
Artificial Intelligence Blogs
It involves the development of intelligent agents that can perceive their environment and make decisions based on that perception. ML is a subset of AI that focuses on the development of algorithms and statistical models that enable machines to learn from data without being explicitly programmed.
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