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Dans l’épisode #22 du podcast Post Mortem, je reçois Alex Combessie. Alex est co-fondateur et CEO de Giskard – une solution d’évaluation de modèles d’IA. Avec Alex, on revient sur les différentes prises de consciences qui ont touché les équipes data autour de la mise en production de projets IA.

On s’interroge également sur la disponibilité de l’outillage des équipes data & IA, notamment dans le cas de l’error analysis afin d’assurer que l’introduction de régression « ML » est maitrisée.

Bibliographie

- Applying ML – Blog de Eugene Yan, https://applyingml.com/

- Blog Post de Giskard sur le ML - https://www.giskard.ai/knowledge-categories/blog

- Le cours de Andrew NG sur l’error analysis, « Carrying Out Error Analysis (C3W2L01) » - issue de la specialization Structuring Machine Learning Projects (Course 3 of the Deep Learning Specialization) - https://www.youtube.com/watch?v=JoAxZsdw_3w