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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.
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1611592496-704bc3829af72798
Wolfram Events Europe
1700231056-78bbbebe34c61169
Tony Aristeidou
Wolfram Certified Instructor and Technical Consultant
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