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About Machine Learning 22618 ETI
This document provides a summary of a micro project report on machine learning. It begins with an introduction on machine learning, including its history and applications. It then discusses the two main types of machine learning - supervised and unsupervised learning. Supervised learning involves using input and output data to train an algorithm to predict new output values, and can be further broken down into classification and regression tasks. Unsupervised learning examines input data without explicit outputs to find patterns in the data. The document concludes with discussing how machine learning works by learning from examples in data to create models and make predictions, similar to how humans learn.
Detailed Information
| Author: | ['Sandip kotkar'] |
|---|---|
| Publication Year: | 2023 |
| Pages: | 14 |
| Language: | English |
| Format: | |
| Price: | FREE |
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