Author archive for David Bloch, page 2

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant.

Building models requires a lot of time and effort. Data scientists can spend weeks just trying to find, capture and transform data into decent features for models, not to mention many cycles of training, tuning, and tweaking models so they’re performant.

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 than traditional software development tools.

The latest update of R dropped on the 24th of April, taking the statistical computing language to Version 4.0. The update is packed with new features, bug fixes and changes to the underlying behavior and syntax of existing functions that help optimize implementation and reusability of code.

Financial services companies have always been early and enthusiastic adopters of data science, and have since contributed much to pushing both the art and science of the discipline to the leading edge.

By David Bloch, Data Science Evangelist, Domino on April 21, 2020 in Perspective