You have been asked to develop a model that can classify images of handwritten digits. Describe how you would approach this problem using classification algorithms.
- Analyze images without preprocessing
- Convert images into numerical data; use algorithms like CNN
- Use regression algorithms
- Use time-series analysis
Converting images into numerical data (pixel values) and using deep learning algorithms like Convolutional Neural Networks (CNNs) can be an effective approach for classifying handwritten digits, as CNNs are well-suited for image data.
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