How do AI methods compare to traditional statistical methods?
AI methods, like machine learning, can model complex patterns in data, while traditional statistical methods focus on inference and hypothesis testing.
Can you give an example where AI outperforms statistical methods?
Sure! In image recognition tasks, AI models like convolutional neural networks often achieve higher accuracy than traditional statistical approaches.
What are the limitations of using AI over statistical methods?
AI can require large datasets and significant computational power, while statistical methods can be more interpretable with smaller datasets.
Are there scenarios where statistical methods are preferred?
Yes, in cases where data is limited or when interpretability is crucial, traditional statistical methods may be more suitable.
How can I decide which method to use for my analysis?
Consider the size and nature of your data, the complexity of the problem, and whether interpretability is important for your analysis.
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