What is Machine learning and types of machine learning in malayalam

Machine learning is a type of artificial intelligence (AI) that allows machines to learn without being explicitly programmed. It does this by using algorithms to analyze data and identify patterns. Once the machine has learned from the data, it can be used to make predictions or decisions about new data.

Types of Machine Learning

Supervised learning: In supervised learning, the machine is given a set of labeled data. This data includes both the input data and the desired output. The machine then learns to predict the output for new input data.

Unsupervised learning: In unsupervised learning, the machine is given a set of unlabeled data. This data does not include the desired output. The machine then learns to identify patterns in the data and group it into clusters.

Regression is a type of supervised learning where the model is trained to predict a continuous output value. For example, a regression model could be trained to predict the price of a house based on its square footage, number of bedrooms, and location.

Classification is another type of supervised learning where the model is trained to predict a discrete output value. For example, a classification model could be trained to predict whether a customer is likely to churn or not based on their past purchase history and browsing behavior.

Clustering is a type of unsupervised learning where the model is trained to group similar data points together. For example, a clustering algorithm could be used to group customers into different segments based on their demographics and purchase history.

Association is a type of unsupervised learning where the model is trained to find relationships between different variables in a dataset. For example, an association algorithm could be used to find which products are often purchased together at a grocery store.

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