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A Practical Overview of Interpretable Machine Learning

July 7, 2022August 5, 2022 by Ioannis Mollas

Written by Ioannis Mollas

Posted in BlogTagged accuracy vs explainability, AI trust, black box, complex models, evaluating interpretability, explainability, explainable AI, explainable Artificial Intelligence, global interpretations, image data, IML, Interpretable Machine Learning, local interpretations, model-agnostic, tabular data, textual data, time series data, transparent models, white box

Machine Learning in Anti-Money Laundering

October 4, 2021July 8, 2022 by cchrysouli

Written by Christina Chrysouli and Antonis Markou

Posted in BlogTagged ai approach, anti-money laundering, cdd, compliance officers, compliance team, criminal behavior, false negatives, false positives, kyc, legitimate behavior, machine-learning, rule based approach, supervised learning, true negatives, true positives, unsupervised learning

Building recommendation systems that work in the real world: Indirect Recommendations

October 14, 2020July 8, 2022 by cchrysouli

by Antonis Markou, Machine Learning engineer, Medoid AI

Posted in BlogTagged e-shop, machine-learning, recommendation, retail

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