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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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Modernize Using The BI & Analytics Magic Quadrant

Rita Sallam

Like when Oracle acquired Hyperion in March of 2007, which set of a series of acquisitions –SAP of Business Objects October, 2007 and then IBM of Cognos in November, 2007. Reeboks made it possible for aerobics classes to become main stream beyond its dancer beginnings. In BI we have had our seminal moments too.

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Experiment design and modeling for long-term studies in ads

The Unofficial Google Data Science Blog

This is essentially the same as finding a truly useful objective to optimize. We use this knowledge to define objective functions to optimize our ads system with a view towards the long-term. Henne, Dan Sommerfield, Overall Evaluation Criterion , Proceedings 13th Conference on Knowledge Discovery and Data Mining, 2007.

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Knowledge

Occam's Razor

Convert Data Skeptics: Document, Educate & Pick Your Poison. Data Mining And Predictive Analytics On Web Data Works? Web Analytics Data Sampling 411. Six Data Visualizations That Rock! The Awesome Power of Visualization 2 -> Death and Taxes 2007. The Awesome Power of Data Visualization.

KPI 124
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How to Choose the Best Analytics Platform, and Empower Business-Driven Analytics

Grooper

Data science skills. Technology – i.e. data mining, predictive analytics, and statistics. Best practices for exploring collected data. Data is crucial to the success of business analytics. Just as Henry Ford used data to ensure success in the early 1900’s, we also depend on volumes of high-quality data.

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

Proceedings of the 13th ACM SIGKDD international conference on Knowledge discovery and data mining. An efficient bandit algorithm for realtime multivariate optimization." Proceedings of the 23rd ACM SIGKDD International Conference on Knowledge Discovery and Data Mining. 2] Scott, Steven L. 2015): 37-45. [3]