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.
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] Organizations can now confidently embrace Elastic, enhance their hot tier storage, and seamlessly manage historical data with cost-efficient capacity-optimized storage. Pure Storage not only meets the demands of the modern data landscape but also empowers organizations to simplify their Elastic architecture, reflecting the industry trend towards a more streamlined and efficient approach.
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 […]