Can I use machine learning with small datasets?
An example of an AI chatbot conversation about using ML with limited data.
Can I use machine learning with small datasets?
Yes, you can use machine learning with small datasets, but there are some challenges.
What kind of challenges are we talking about?
Small datasets can lead to overfitting, where the model learns noise instead of patterns.
How can I mitigate overfitting?
You can use techniques like cross-validation, regularization, or simpler models to reduce overfitting.
Are there specific algorithms that work better with small datasets?
Yes, algorithms like decision trees or k-nearest neighbors often perform better with limited data.
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