Deploying machine learning models in a repeatable, scalable manner requires an understanding that the algorithms and techniques that underpin models are rapidly evolving and are managed differently... (more…)
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Machine Learning (ML) workloads have rapidly grown in importance, but raised
concerns about their carbon footprint. Four best practices can reduce ML
training energy by up to 100x and CO2 emissions up to 1000x. By following best
practices, overall ML ener... (more…)
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In this tutorial, we will be exploring how we can use Computer Vision and Machine Learning to detect Coronavirus (COVID-19) cases on chest X-ray images with... (more…)
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Key features of ML monitoring solutions, why companies need a holistic MLOps platform that includes model monitoring, and challenges companies face in making that happen. By Ben Lorica and Paco Nathan. According to the 2020 Gartner Hype Cycle for Artifici... (more…)
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