Blogs
Data Science Design Pattern #2: Variable-Width Kernel Smoothing
This data science design pattern blog post focuses on kernel smoothing.
Mosaic Data Science helps firms develop a data science strategy, which includes a comprehensive plan to leverage data analytics to inform decision-making across the business. Firms that work with us have a clear path forward on how to successfully execute data analytics and incorporate it with existing infrastructure. Mosaic draws upon its deep expertise, maintaining an objective view of the enterprise landscape, to deliver a powerful engagement with strong ROI.
This data science design pattern blog post focuses on kernel smoothing.
This post discusses how many data scientists fail to frame business problems as optimizations even after coming to the correct statistical outcome.
Our paper focuses on why enterprise data warehouse projects fail and what to do about it.
In this blog Mosaic discusses how businesses can take advantage of ‘small data’ before taking the plunge of collecting every data available to them.
This white paper explores how traditional models of the value of information (VoI) can be extended effectively to account for uncertainties presently inherent in gathering and analyzing big data.
We’ve developed an entire guide on how to stand up a successful data science group.