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Need to know more about ML Algorithms.

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The types of Machine Learning algorithms are shown below :

 

  • Supervised Learning :In supervised learning, the machine learns from the labeled data, i.e., we already know the result of the input data. In other words, we have input and output variables, and we only need to map a function between the two. 

 

supervised learning can again be divided into two categories:

  • Regression

  • Classification

 

 

  • Unsupervised Learning: In unsupervised Learning the machine learns from unlabeled data, i.e. the result for the input data is not known beforehand. Here, the algorithm tries to determine the underlying structure of the data.

 

Types of unsupervised learning algorithms:

  • K-means clustering

  • Hierarchical Clustering

  • Principal Component Analysis

 

 

  • Semi-supervised Learning :In semi-supervised learning, the machine learns from a combination of labeled and unlabeled data. In other words, you can consider semi-supervised learning as a fusion of supervised learning and unsupervised learning.

 

  • Reinforcement Learning :In reinforcement learning, the algorithm learns through a system of rewards and punishment and the goal here is to maximize the total rewards.

Interested in Machine Learning? Check out this Machine Learning Course by Intellipaat.

 

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