Images, GIFs or Video: Which Perform Best on Instagram?

Instagram is a wildly popular platform for consumers and companies alike. One reason the platform is so successful is due to its visual nature. Not only are images and videos more engaging than written text, but visual content is remembered more than text.
But deciphering exactly what kind of visual content to post is tough.

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3 Ways Brands Can Win Black Friday with Digital Ads

Black Friday is one of the biggest days in the retail calendar, and for good reason. Every year, the post-thanksgiving sale brings in more and more attention, and with that, revenue. However, with the ever-growing reliance on the digital world, we are seeing a significant shift towards online sales.
In 2018, while footfall in shops dropped by 5.

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Building a Neo4j Reporting Service Part I

Data science is pretty hot right now. The obvious reason is that data is rapidly expanding in complexity and size. There is an opportunity to be had in building systems that can capture this data, classify it in multiple dimensions, and to scale it up to the demands of analysts looking to convert data into valuable reports.

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What to Expect in Tatvic’s UX Audit Report [Infographic]

User Experience is not just a hot buzzword that marketers are on and on about for no reason. The conversion rate of your website depends on it. Not that we need an introduction to UX or the importance of it…
The post What to Expect in Tatvic’s UX Audit Report [Infographic] appeared first on Tatvic Analytics.

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Computing PCA with SVD

PCA is a great tool for performing dimensionality reduction. Two reason you might want to use SVD to compute PCA:
SVD is more numerically stable if the columns are close to collinear. I have seen this happen in text data, when certain terms almost always appear together.
Spark’s PCA implementation currently doesn’t support very wide matrices. The SVD implementation does however.

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Trey Causey, Data Product Manager

There’s no denying that ‘data scientist’ is a hot job title to have right now, and for good reason. It’s a tremendously fun and challenging field to be in, and despite all of the often undeserved hoopla that surrounds it, data scientists are doing some pretty amazing things. So it’s no surprise that many people are clamoring to find out how to become data scientists.

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