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Tools like Wolfram Language have made machine learning accessible to anyone with basic computing skills. As the importance of knowing the internal details of machine learning algorithms diminishes, the importance of understanding how to apply machine learning appropriately rises. This talk explores the issues you need to consider in making data-driven decisions. It discusses topics such as when machine learning is appropriate, sources of bias, validation and explainability of models and decision-making criteria.
e35ccb37002d
1611592496-704bc3829af72798
Wolfram Events Europe
1739200694-3991b1240114aea3
Xiaofan Zhang
Wolfram Technical Consultant
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