O'Reilly on Data

MAY 11, 2020

Many of the models you interact with are mediated through screens, and there’s no shortage of news about how many of us spend our lives glued to them. The Entertainment” is not the result of algorithms, business incentives and product managers optimizing for engagement metrics. YOUTUBE, CONSPIRACY, AND OPTIMIZATION.

Modeling 188

Modeling Advertising Recreation/Entertainment Metrics 188

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

Occam's Razor

APRIL 8, 2013

Sometimes, we escape the clutches of this sub optimal existence and do pick good metrics or engage in simple A/B testing. You're choosing only one metric because you want to optimize it. By 2011, the company had 20 full-time photographers on staff. But it is not routine. So, how do we fix this problem?

Metrics 156

Metrics KPI Analytics Key Performance Indicator 156

Occam's Razor

SEPTEMBER 13, 2016

If you are curious, here is a April 2011 post: The Difference Between Web Reporting And Web Analysis. Hypothesis development and design of experimentation. Take this as an example… How do you know that this is a profoundly sub-optimal collection of choices to provide? Pattern recognition and understanding trends.

Modeling 127

Modeling Reporting Strategy Consulting 127

Occam's Razor

NOVEMBER 2, 2015

In my Oct 2011 post, Best Social Media Metrics , I'd created four metrics to quantify this value. "So what if no one interacted with your Twitter feed, at least they saw it!" I believe the best way to measure success is to measure the above four metrics (actual interaction/action/outcome). Success Metrics.

B2B 167

B2B Metrics Testing Recreation/Entertainment 167

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. Note: Maas, A., As summarized in Table 11.1,

Deep Learning 111

Deep Learning Modeling Metrics Testing 111