Machine learning algorithms turn a data set into a model. Depending on the nature of learning ‘signal’ available to the system, the algorithms are broadly classified into three types – Supervised, unsupervised, and semi-supervised learning.
Further, there are dozens of ML algorithms as per the complexity of the problem it solves. Choosing the appropriate machine learning algorithms is critical to developing an AI or machine learning project. Here is a short infographic that narrates on 11 machine learning algorithms, AI professionals need to know.
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