Machine learning is a subset of artificial intelligence (AI) that involves training algorithms to learn from data.
Machine learning algorithms can be broadly classified into three categories.
The three categories are: supervised learning, unsupervised learning, and reinforcement learning.
Supervised learning involves training a model on labeled data, where the desired output is already known.
Unsupervised learning involves training a model on unlabelled data, where the desired output is not known.
Reinforcement learning involves training a model to make decisions in an environment where it receives feedback in the form of rewards or penalties
Some of the popular machine learning algorithms include decision trees, random forests, logistic regression, neural networks, and SVM.
Machine learning finds applications in a wide range of fields, like image recognition, natural language processing, speech recognition, fraud detection, etc
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