While implementing retraining on a set cadence is easier, dynamic retraining can prevent models from becoming outdated and optimize computational costs.
Read it!To avoid responding with "that's what Andrew NG said" when asked about the reason behind choosing an 80% training and 20% validation split, consider this explanation.
Read it!"Companies may not be sure how to best incorporate data teams into their processes of value creation, but that doesn’t mean we can’t elbow our way in."
Read it!