Subject archive for "leaders-at-work"

Data Science

The Curse of Dimensionality

Danger of Big Data

By Bill Shannon14 min read

Data Science

Why models fail to deliver value and what you can do about it.

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.

By David Bloch9 min read

Data Science

Evaluating Ray: Distributed Python for Massive Scalability

Dean Wampler provides a distilled overview of Ray, an open source system for scaling Python systems from single machines to large clusters. If you are interested in additional insights, register for the upcoming Ray Summit.

By Dean Wampler14 min read

Data Science

Announcement: Domino is fully Kubernetes native

Last week we announced that Domino is now fully Kubernetes native.

By Nick Elprin2 min read

Subscribe to the Domino Newsletter

Receive data science tips and tutorials from leading Data Science leaders, right to your inbox.

*

By submitting this form you agree to receive communications from Domino related to products and services in accordance with Domino's privacy policy and may opt-out at anytime.