The Unofficial Google Data Science Blog

APRIL 23, 2024

If the relationship of $X$ to $Y$ can be approximated as quadratic (or any polynomial), the objective and constraints as linear in $Y$, then there is a way to express the optimization as a quadratically constrained quadratic program (QCQP). However, joint optimization is possible by increasing both $x_1$ and $x_2$ at the same time.

Experimentation 52

Experimentation Optimization Uncertainty Metrics 52

datapine

JANUARY 31, 2022

They’re about having the mindset of an experimenter and being willing to let data guide a company’s decision-making process. This benefit goes directly in hand with the fact that analytics provide businesses with technologies to spot trends and patterns that will lead to the optimization of resources and processes.

Business Intelligence 214

Business Intelligence Analytics Cost-Benefit ROI 214

Octopai

MAY 2, 2022

Common elements of DataOps strategies include: Collaboration between data managers, developers and consumers A development environment conducive to experimentation Rapid deployment and iteration Automated testing Very low error rates. Just-in-Time” manufacturing increases production while optimizing resources. Agile development.

Manufacturing 98

Manufacturing Testing Data Quality Dashboards 98

Occam's Razor

NOVEMBER 2, 2015

When you search for them, if you find them, you end up on sub-optimal landing pages. As with all other Social Networks below, let's take a look at some B2B examples (good and un-good), some B2C examples (good and un-good) and arrive at the optimal answer. We all know that Page Likes is a profoundly sub-optimal metric.

B2B 167

B2B Metrics Recreation/Entertainment Testing 167

The Unofficial Google Data Science Blog

JUNE 30, 2016

In an ideal world, experimentation through randomization of the treatment assignment allows the identification and consistent estimation of causal effects. It should be noted that inverse probability weighting is not generally optimal (i.e., This algorithm is implemented in the SuperLearner R package (Polley & van der Laan, 2014).

Statistics 45

Statistics Optimization Modeling Experimentation 45

Domino Data Lab

AUGUST 22, 2019

At the time—in 2014—the three were colleagues working. 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. s lead may not be the optimal choice.

Deep Learning 111

Deep Learning Modeling Metrics Testing 111

Occam's Razor

SEPTEMBER 15, 2014

In blue is how much time we spent in 2010 and in blue the time spent in 2014. was the dramatic shift between 2010 to 2014 to mobile content consumption. Media-Mix Modeling/Experimentation. If you want to go it alone, get a Red Bull and download this handy-dandy 62 slide Cross Devices Optimization presentation.

Metrics 143

Metrics Reporting Analytics Marketing 143