Remove 2016 Remove Data mining Remove Measurement Remove Visualization
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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., Taking measurements at parameter settings further from control parameter settings leads to a lower variance estimate of the slope of the line relating the metric to the parameter.

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Unlock The Power of Your Data With These 19 Big Data & Data Analytics Books

datapine

An excerpt from a rave review : “I would definitely recommend this book to everyone interested in learning about data from scratch and would say it is the finest resource available among all other Big Data Analytics books.”. If we had to pick one book for an absolute newbie to the field of Data Science to read, it would be this one.

Big Data 263
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Crystal Reports: Alternatives and Comparison with FineReport

FineReport

It can integrate up to twelve formats of data sources, and create dynamic reports. . The latest version released is Crystal Reports 2016. Compared to reporting tools, they can realize data forecast thanks to OLAP analysis and data mining technologies. Crystal Report uses an accurate measurement.

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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

2016) for an example of this technique (LIME). Skater provides a wide range of algorithms that can be used for visual interpretation (e.g. but it generally relies on measuring the entropy in the change of predictions given a perturbation of a feature. Toy example to present intuition for LIME from Ribeiro (2016).

Modeling 139
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Misleading Statistics Examples – Discover The Potential For Misuse of Statistics & Data In The Digital Age

datapine

These controlling measures are essential and should be part of any experiment or survey – unfortunately, that isn’t always the case. This means that there is no definable justification for the placement of the visible measurement lines. Here they speak about two use-cases in which COVID-19 data was used in a misleading way.