Machine Learning algorithms are classified as –
1) Supervised Machine Learning Algorithms
Machine learning algorithms that make predictions on given set of samples. Supervised machine learning algorithm searches for patterns within the value labels assigned to data points.
2) Unsupervised Machine Learning Algorithms
There are no labels associated with data points. These machine learning algorithms organize the data into a group of clusters to describe its structure and make complex data look simple and organized for analysis.
3) Reinforcement Machine Learning Algorithms
These algorithms choose an action, based on each data point and later learn how good the decision was. Over time, the algorithm changes its strategy to learn better and achieve the best reward
1) Supervised Machine Learning Algorithms
Machine learning algorithms that make predictions on given set of samples. Supervised machine learning algorithm searches for patterns within the value labels assigned to data points.
2) Unsupervised Machine Learning Algorithms
There are no labels associated with data points. These machine learning algorithms organize the data into a group of clusters to describe its structure and make complex data look simple and organized for analysis.
3) Reinforcement Machine Learning Algorithms
These algorithms choose an action, based on each data point and later learn how good the decision was. Over time, the algorithm changes its strategy to learn better and achieve the best reward
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