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About Unit 1 Notes
This document provides an introduction to machine learning, contrasting it with traditional programming. It discusses how machine learning aims to mimic how humans learn by experience. Specifically, it notes that in traditional programming rules are explicitly coded, while in machine learning the system is provided examples of inputs and outputs and learns to infer rules on its own. As an example, it contrasts writing a program to add numbers, where the rule is explicit, versus recognizing handwritten digits, where providing examples allows the system to learn recognition patterns. The key steps of machine learning involve providing training data and labels to a learning algorithm, which outputs a model or rules that can then be used to process new unlabeled data.
Detailed Information
| Author: | ['somay jain'] |
|---|---|
| Publication Year: | 2022 |
| Pages: | 18 |
| Language: | English |
| Format: | |
| Price: | FREE |
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