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eCommerce Companies Use AI to Ensure their Sites Are ADA Compliant

Smart Data Collective

However, we have witnessed a significant uptick in ADA cases being filed against website owners since 2017. Evan Morris of Towards Data Science discussed this in one of his recent articles. Morris points out that AI helps with automated testing. between Q1 of 2017 and Q1 of 2018. That’s a lot of cash!

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PODCAST: COVID19 | Redefining Digital Enterprises – Episode 12: How AI is rapidly transforming the enterprise landscape in the post-COVID world

bridgei2i

She’s the founder and CEO of StatWeather, a company, which was recognized as number one in climate technology globally in the year, 2017, by the Energy Risk Awards. We need people who can test. She’s a mathematician, a classical musician and the author of the book ‘All things are possible: Unleashing the superhuman within.’

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Changing assignment weights with time-based confounders

The Unofficial Google Data Science Blog

Another reason to use ramp-up is to test if a website's infrastructure can handle deploying a new arm to all of its users. The website wants to make sure they have the infrastructure to handle the feature while testing if engagement increases enough to justify the infrastructure. We offer two examples where this may be the case.

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ML internals: Synthetic Minority Oversampling (SMOTE) Technique

Domino Data Lab

Their tests are performed using C4.5-generated 1988), E-state data (Hall et al., note that this variant “performs worse than plain under-sampling based on AUC” when tested on the Adult dataset (Dua & Graff, 2017). Data mining for direct marketing: Problems and solutions. Chawla et al., 1998) and others).

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Towards optimal experimentation in online systems

The Unofficial Google Data Science Blog

Modeling live experiment data Data scientists at YouTube are rarely involved in the analysis of typical live traffic experiments. Multiparameter experiments, however, generate richer data than standard A/B tests, and automated t-tests alone are insufficient to analyze them well. Testing Statistical Hypotheses.

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Magnificent Mobile Website And App Analytics: Reports, Metrics, How-to!

Occam's Razor

Upsight (nee Kontagent) provides mobile app analytics, with a pinch of advanced segmentation (including sweet cohort analysis ) and big data mining thrown in for good measure. One way to overcome this issue is to use media-mix modeling to run tests and measure incrementality in results and attribute it to the optimal channel.

Metrics 141
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Explaining black-box models using attribute importance, PDPs, and LIME

Domino Data Lab

After forming the X and y variables, we split the data into training and test sets. Looking at the target vector in the training subset, we notice that our training data is highly imbalanced. All we need to do is instantiate LimeTabularExplainer and give it access to the training data and the independent feature names.

Modeling 139