The Unofficial Google Data Science Blog

OCTOBER 7, 2015

This is essentially the same as finding a truly useful objective to optimize. accounting for effects "orthogonal" to the randomization used in experimentation. The first thing you’ll want to do is to run your test for a long time with fixed experimental units, in our case cookies.

Modeling 61

Modeling Experimentation Knowledge Discovery Testing 61

CIO Business Intelligence

JUNE 27, 2022

Sentry was started as an open source project by David Cramer in 2008 to provide monitoring services for application developers. David Cramer: I love the open source community so I would build a lot of things in open source to interact with my peers. million developers today. How did that happen? Is it still true today? .

Software 99

Software Experimentation Testing Marketing 99

O'Reilly on Data

JULY 25, 2023

And if I switch tabs to view a paper from 2008, then a song from 2008 could start up. To provide some coherence to the music, I decided to use Taylor Swift songs since her discography covers the time span of most papers that I typically read: Her main albums were released in 2006, 2008, 2010, 2012, 2014, 2017, 2019, 2020, and 2022.

Consulting 246

Consulting Interactive Software IT 246

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2008, we received a small round of funding and focused on bringing this technology to the market. Significant engine optimizations made GraphDB more powerful and more efficient across a wider set of workloads.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Ontotext

DECEMBER 30, 2022

9 years of research, prototyping and experimentation went into developing enterprise ready Semantic Technology products. In 2008, we received a small round of funding and focused on bringing this technology to the market.

Enterprise 52

Enterprise Sales Cost-Benefit Marketing 52

Domino Data Lab

AUGUST 22, 2019

You can home in on an optimal value by specifying, say, 32 dimensions and varying this value by powers of 2. If we were using CBOW, then a window size of 5 (for a total of 10 context words) could be near the optimal value. Interactive bokeh plot of two-dimensional word-vector data. As summarized in Table 11.1, Example 11.9

Deep Learning 111

Deep Learning Modeling Metrics Testing 111