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FeatureByte CEO Razi Raziuddin on Machine Learning and Feature Engineering

Écrit par

Jul 7, 2023

1 minute read

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I spoke with Razi Raziuddin, CEO of FeatureByte, about the best way to prep data for ML models; he also explained some of the most common challenges with feature engineering.

Among the topics we discussed:

The process of transforming raw data into features – to train ML models and predict future outcomes – is called feature engineering. Why is feature engineering so challenging for companies?
What advice do you give companies about the best way to prep data for ML models?
How is FeatureByte addressing the feature engineering needs of its clients?
The future of data prep and ML models? Will it get easier?

Listen to the podcast:

Also available on Apple Podcasts

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James Maguire

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