What is the future of feature engineering in AI?
The future of feature engineering is likely to be dominated by automated processes and advanced algorithms that can identify and create features without human intervention.
Will traditional feature engineering still be relevant?
Yes, traditional feature engineering will still be relevant, especially in cases where domain knowledge is crucial for understanding the data.
How will machine learning impact feature engineering?
Machine learning will enhance feature engineering by enabling models to learn from data patterns, reducing the need for manual feature creation.
What tools are emerging for feature engineering?
Emerging tools include automated feature engineering platforms like Featuretools and H2O.ai, which streamline the process.
Can you give examples of automated feature engineering?
Sure! Examples include using deep learning models to automatically extract features from images or text data.
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