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Supervised Learning In Machine Learning

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What is Supervised Learning?

Supervised learning, also known as Supervised machine learning, uses machine learning algorithms to analyze and cluster labeled datasets. 

It means some data is already tagged with the correct answer. It can be compared to learning which takes place in the presence of a supervisor or a teacher.

Supervised learning classified into two categories:

  • Classification

  • Regression

Types Of Supervised Learning

Types:-

  • Regression

  • Logistic Regression

  • Classification

  • Naive Bayes Classifiers

  • K-NN (k nearest neighbors)

  • Decision Trees

  • Support Vector Machine

Why We Choose This Algorithms

  • Supervised learning allows collecting data and produce  data output from the previous experiences.

  • Optimize performance criteria.

  • It Helps to solve various types of real-world computation problems.

Use Cases For Supervised Learning

  • Advertising/Marketing

  • Big Data Analytics

  • Sales Application

  • Data Security/ Fraud

  • Rebote Drones

  • Various

Other Related Term Of Machine Learning

  • Artificial Intelligence

  • Data Mining

  • Neural Networks

  • Artificial Neural Network

  • Machine Learning Technique

  • Support Vector Machine

  • Learning Method

  • And More Others

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