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2 days ago · Utilize statistical methods and machine learning algorithms to analyze complex data sets, build predictive models, and derive actionable insights. Data ...
2 days ago · Interns will gain experience in Data Engineering and Data Science by working on machine learning initiatives and solving complex problems.
Missing: RED | Show results with:RED
7 hours ago · The Kubestronaut program recognises community leaders who have consistently invested in their ongoing education and grown their skill level with Kubernetes.
4 days ago · I love to dig into customer problems and solve them with modern technologies. I create, scale and optimize business portfolios that matter. To accomplish this, ...
6 days ago · In this paper, we synthesize existing conceptualizations of trustworthy AI along six requirements: 1) human agency and oversight, 2) fairness and non- ...
4 days ago · This paper focuses on the first phase (Phase 1) of the framework, which employs machine learning for building energy forecasting using only the few inputs ...
2 days ago · This database includes grant commitments made by the Bill & Melinda Gates Foundation and previous foundations of the Gates family.
Missing: (Hybrid) | Show results with:(Hybrid)
6 days ago · The learned policy helps in the efficient collection of high-quality streaming data that reduces human error in labeling and improves the ML model quality.
Missing: Global | Show results with:Global
5 days ago · This study explores the use of chemical descriptors derived from force field atom types to predict Fickian diffusion coefficients of rejuvenators in bitumen ...
Missing: Global | Show results with:Global
3 days ago · This study aims to identify, collate, and map the global evidence base on the ecological, physical, social, and economic performance of active NBS interventions ...