The Unofficial Google Data Science Blog

APRIL 23, 2024

Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well. To find optimal values of two parameters experimentally, the obvious strategy would be to experiment with and update them in separate, sequential stages.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

Hurwitz & Associates

JULY 19, 2018

Edge solutions keep large and growing data sets close to where the data is generated, and faster networks facilitate data transfer from edge systems to the cloud. HPE CEO Antonio Neri put it this way in his keynote at the annual HPE Discover conference: ‘We are edge-centric, cloud-enabled and data-driven.”.

Strategy 40

Strategy Data-driven Experimentation Software 40

O'Reilly on Data

SEPTEMBER 11, 2019

Machine learning, artificial intelligence, data engineering, and architecture are driving the data space. The Strata Data Conferences helped chronicle the birth of big data, as well as the emergence of data science, streaming, and machine learning (ML) as disruptive phenomena.

IoT 20

IoT Big Data Data Warehouse Uncertainty 20

O'Reilly on Data

MAY 11, 2020

Television only lacked the immediate feedback that comes with clicks, tracking cookies, tracking pixels, online experimentation, machine learning, and “agile” product cycles. And anger and polarization are bankable commodities that drive the feedback loop in an engagement-driven world. If that’s not engagement, what is?

Modeling 190

Modeling Advertising Recreation/Entertainment Metrics 190