AI and machine learning bolster cryptocurrency analysis through advanced feature engineering, extracting insights for informed decision-making in volatile markets.

The FeatureByte CEO discusses the best way to prep data for ML models, and also explains some of the most common challenges with feature engineering.

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During the making of an AI model, Performance metrics like accuracy, precision, recall, F1-score, ROC curves are used to ...

Last week, dotData, a company focused on automated feature engineering (AutoFE) and automated machine learning (AutoML), announced the integration of its AutoFE technology with the Databricks ...

Here are 10 startups with leading-edge data science and machine learning technology that have caught our attention (so far) this year.