In this contributed article, Naomi Beckett, Senior Data Scientist at SparkBeyond, discusses the importantance of error analysis in predictive modeling and how to establish a method for determining when enough is enough.
[SPONSORED POST] At DDC, the global leader in scalable datacenter-to-edge solutions, we are taking an innovative approach to building new and retrofitting legacy datacenters. Today, our patented cabinet technology can be deployed in nearly any environment or facility and supports one of the highest-density, air-cooled thermal loads—85kW per cabinet—on the market. In a recent deployment with TierPoint, a US-based colocation provider, we are supporting a 26,000 sq ft facility augmentation outside of Allentown, PA.
In today’s fast-paced world, driven by demands for speed and efficiency, the field of clinical development has undergone a remarkable transformation. The way trials are being conducted has changed significantly with decentralized clinical trials (DCT) becoming mainstream and the collection of clinical data from wearables and other remote-monitoring devices becoming common practice. While these advances […]
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