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Data Mining Problems in Retail

Highly Scalable

Retail is one of the most important business domains for data science and data mining applications because of its prolific data and numerous optimization problems such as optimal prices, discounts, recommendations, and stock levels that can be solved using data analysis methods. However, many of these models are highly parametric (i.e.

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A simple, client-side approach to measuring Speed Index

Dean Hume

The Eggplant website does a great job of explaining clearly how Speed Index is calculated. "Each In this article, I am going to show you how to get started using the Speed Index library and how you can start collecting this data using Google Analytics. "Each frame is given a score for visual incompleteness above the fold.

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A simple, client-side approach to measuring Speed Index

Dean Hume

The Eggplant website does a great job of explaining clearly how Speed Index is calculated. "Each In this article, I am going to show you how to get started using the Speed Index library and how you can start collecting this data using Google Analytics. "Each frame is given a score for visual incompleteness above the fold.

Speed 40
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A simple, client-side approach to measuring Speed Index

Dean Hume

The NCC group website does a great job of explaining clearly how Speed Index is calculated. "Each In this article, I am going to show you how to get started using the Speed Index library and how you can start collecting this data using Google Analytics. "Each frame is given a score for visual incompleteness above the fold.

Speed 40
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An Opinionated Guide to Performance Budgets

Speed Curve

In an ideal world, pages served to mobile devices should be under 1 MB – and definitely not more than 2 MB – but I often see pages in excess of 5 MB. That was before pages filled up with dozens (and sometimes hundreds) of analytics tags, tracking beacons, and other third parties that silently push out your total load time.

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What Is Hyperautomation?

O'Reilly

So we really can’t talk about automating any significant task without seeing it as a non-trivial data integration project: matching IDs, reconciling slightly different definitions of database columns, de-duping, named entity recognition , all of that fun stuff. The data available to our retail business is much more limited.

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