The Unofficial Google Data Science Blog

APRIL 23, 2024

If $Y$ at that point is (statistically and practically) significantly better than our current operating point, and that point is deemed acceptable, we update the system parameters to this better value. However, if we experiment with both parameters at the same time we will learn something about interactions between these system parameters.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Alation

SEPTEMBER 28, 2022

DataOps as a term was brought to media attention by Lenny Liebmannin 2014, then popularized by several other thought leaders. Daily Interactions. Technical environments and IDEs must be disposable so that experimental costs can be kept to a minimum. Over the past 5 years, there has been a steady increase in interest in DataOps.

Cost-Benefit 52

Cost-Benefit Data Quality Manufacturing Testing 52

Domino Data Lab

AUGUST 22, 2019

Although it’s not perfect, [Note: These are statistical approximations, of course!] At the time—in 2014—the three were colleagues working. Instead, we recommend using the bokeh library to create a highly interactive—and actionable—plot, as with the code provided in Example 11.11. Example 11.6 Pennington, J., Example 11.11

Deep Learning 111

Deep Learning Modeling Metrics Testing 111