Machine learning is a data analytics technique that teaches computers to solve problems in a human like manner
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Types of Machine Learning:
Supervised Machine Learning:-
Supervised learning is a type of machine learning algorithm that uses a dataset with input and response values (called the training dataset) to make predictions. From the data set the supervised learning algorithm tries to build a model that can make accurate predictions from the response values of the data set for a new dataset. A test dataset is often used to validate the model..
Unsupervised Machine Learning:-
Unsupervised learning is a type of machine learning algorithm that draws interpretations from datasets consisting of input data without corresponding responses.The most commonly used unsupervised learning method is called cluster analysis, in which it uses investigative data analysis to find hidden patterns in the provided data. The clusters are modeled using metrics such as Euclidean or Probabilistic Distance.