The latest articles on DEV Community by Leandro Reschke (@leandro_betaacid). https://dev.to/leandro_betaacid https://media2.dev.to/dynamic/image/width=90,height=90,fit=cover,gravity=auto,format=auto/https:%2F%2Fdev-to-uploads.s3.amazonaws.com%2Fuploads%2Fuser%2Fprofile_image%2F1544627%2F2c75b81c-22f6-48bb-a00f-4139d4515003.jpg https://dev.to/leandro_betaacid en Leandro Reschke Wed, 29 May 2024 14:54:46 +0000 https://dev.to/leandro_betaacid/measuring-data-science-models-44eb https://dev.to/leandro_betaacid/measuring-data-science-models-44eb <p>Incorporating business metrics into model training and fine-tuning bridges the gap between data science teams and stakeholders. This approach ensures machine learning models are both technically robust and strategically significant. By aligning technical outputs with business goals, companies can foster a data-driven culture, making insights actionable and maximizing returns on AI investments.</p> <p><a href="https://betaacid.co/blog/measuring-data-science-models-using-business-metrics">Read more</a></p> machinelearning ai datascience performance