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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.
77a6d03781b7
1611592496-704bc3829af72798
Wolfram Events Europe
1732541662-46c90a3287f29609
Joseph Brennan
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