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Analytics On The Bleeding Edge: Transforming Data's Influence

Occam's Razor

The first component is a gloriously scaled global creative pre-testing program. We pre-test pretty much everything in an online lab ish environment, and predict whether a piece of a TV or Billboard or Radio or YouTube or Facebook creative will be successful. Matched market tests. Creative is the thing you see in the ad.

Analytics 131
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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

the weight given to Likes in our video recommendation algorithm) while $Y$ is a vector of outcome measures such as different metrics of user experience (e.g., Experiments, Parameters and Models At Youtube, the relationships between system parameters and metrics often seem simple — straight-line models sometimes fit our data well.

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What’s the Difference: Quantitative vs Qualitative Data

Alation

These terms that cannot aggregate, like a percentage, are often called non-aggregatable metrics. Traditional business analysis uses numerical methods to paint a picture, often through numerical methods, like statistics. What Is the Role of Statistics in Quantitative Data Analysis? What Is Quantitative Data Analysis?

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Building a Named Entity Recognition model using a BiLSTM-CRF network

Domino Data Lab

statistical model-based techniques – Using Machine Learning we can streamline and simplify the process of building NER models, because this approach does not need a predefined exhaustive set of naming rules. The process of statistical learning can automatically extract said rules from a training dataset. The CRF model.

Modeling 111