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.
Webinar ID
5f533803eefb
Presenters
Wolfram Events Europe
Jon McLoone
Director of Consulting, Wolfram Research Europe
Jon McLoone leads the European technical consulting team for Wolfram and has over 30 years of experience in data science across a range of industries.