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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

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.

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Smarter Survey Results and Impact: Abandon the Asker-Puker Model!

Occam's Razor

Hypothesis development and design of experimentation. Econsultancy/Lynchpin provides this description in the report: "There were 960 respondents to our research request, which took the form of a global online survey fielded in May and June 2016. . + Pattern recognition and understanding trends. Argumentation and logical thinking.

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Deep Learning Illustrated: Building Natural Language Processing Models

Domino Data Lab

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. Joulin, A., arXiv: 1607.01759. Bojanowski, P.,

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When models are everywhere

O'Reilly on Data

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.

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