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Download Machine Learning Basics by ['Temitayo Olutimi Ejidokun'] in PDF format completely FREE. No registration required, no payment needed. Get instant access to this valuable resource on PDFdrive.to!
About Machine Learning Basics
The document discusses basics of machine learning image classification techniques. It explains that image classification involves labeling images into predefined classes, and provides examples like cancer detection from x-rays or handwritten digit classification. The key steps in image classification are preprocessing, object detection, feature extraction and training, and classification. Image preprocessing aims to improve image quality and includes techniques like resizing, grayscaling, blurring and rotation to generate more training data and prevent overfitting. Common machine learning algorithms for classification mentioned are neural networks, convolutional neural networks, KNN, decision trees and support vector machines.
Detailed Information
| Author: | ['Temitayo Olutimi Ejidokun'] |
|---|---|
| Publication Year: | 2021 |
| Pages: | 25 |
| Language: | English |
| Format: | |
| Price: | FREE |
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