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Why the Data Journey Manifesto?

DataKitchen

We wrote the first version because, after talking with hundreds of people at the 2016 Strata Hadoop World Conference, very few easily understood what we discussed at our booth and conference session. They need to learn customers’ interactions with their brand and marketing touchpoints. So why another manifesto in the world?

Testing 130
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Decision-Making in a Time of Crisis

O'Reilly on Data

We saw this after the 2016 U.S. To do so, let’s stick with the example of the 2016 U.S. I recalled this mindful use of language when I recently had a COVID-19 test and the doctor reported “the test did not detect the presence of COVID-19,” instead of “the test came back negative.” But it may not even do that.

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13 Essential Data Visualization Techniques, Concepts & Methods To Improve Your Business – Fast

datapine

Therefore, the visualization of data is critical to the sustained success of your business and to help you yield the most possible value from this tried and tested means of analyzing and presenting vital information. Retail analytics tools allow you to visualize relevant metrics in interactive bar charts such as the one displayed below.

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

Domino Data Lab

The need for interaction – complex decision making systems often rely on Human–Autonomy Teaming (HAT), where the outcome is produced by joint efforts of one or more humans and one or more autonomous agents. 2016) for an example of this technique (LIME). Toy example to present intuition for LIME from Ribeiro (2016).

Modeling 139
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The Top 20 Data Visualization Books That Should Be On Your Bookshelf

datapine

They can be fun and interactive, too. Your Chance: Want to test a powerful data visualization software? Originally published in 2016, it has a second edition that was published in 2019 that includes a rewritten chapter on qualitative data as well as 9 new chart types and shortcuts on Excel. click for book source**.

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What is SSDP and Can it Truly Make Analytics Self-Serve?

Smarten

With true self-serve business intelligence and analytics solutions, the average business user can perform data preparation, test theories and hypotheses by prototyping on their own and share clear, objective data with others. Users can control the data elements, the volume and the timing of the analysis and reporting.