Machine learning is used in natural language processing to develop algorithms that can understand and generate human language.
Linear regression is a supervised learning algorithm that learns to predict a continuous output variable based on one or more input features.
Machine learning has a wide range of applications, including: introduction to machine learning etienne bernard pdf
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\section{Conclusion}
\subsection{Computer Vision}
\subsection{Reinforcement Learning}
In reinforcement learning, the algorithm learns through trial and error by interacting with an environment and receiving feedback in the form of rewards or penalties.