Sat.Feb 02, 2019 - Fri.Feb 08, 2019

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Can Big Data Help Provide Affordable Healthcare?

Dataconomy

Big Data and AI can help with the growing care provider shortage. Here is how and why. One percent of the global population possesses 40-percent of all the world’s wealth, a persistent issue for which economists and politicians have debated about for some time. Economic inequality is a problem that’s. The post Can Big Data Help Provide Affordable Healthcare?

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I scanned the whole country of Austria and this is what I've found

Christian Haschek

Disclaimer: This article is the result of a few weeks of research.

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professionals

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FAQ #1: Tips & tricks for NLP, annotation & training with Prodigy and spaCy

Explosion

In this video, Ines talks about a few frequently asked questions and shares some general tips and tricks for how to structure your NLP annotation projects, how to design your label schemes and how to solve common problems.

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Feb 8 2019: Data Center Trends for 2019

DataCentric podcast

This year is shaping up to be a huge year for IT and enterprise datacenter architecture. Matt and Steve talk about what they see as the big trends in 2019 that are most impactful, as well as some anti-trends. It's an insightful 28 minutes! 00:46 News: CES, IBM Quantum Computing, & Huawei builds a server ARM part 03:20 Trend: ARM in the DataCenter?

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What’s New in Apache Airflow® 3.0—And How Will It Reshape Your Data Workflows?

Speaker: Tamara Fingerlin, Developer Advocate

Apache Airflow® 3.0, the most anticipated Airflow release yet, officially launched this April. As the de facto standard for data orchestration, Airflow is trusted by over 77,000 organizations to power everything from advanced analytics to production AI and MLOps. With the 3.0 release, the top-requested features from the community were delivered, including a revamped UI for easier navigation, stronger security, and greater flexibility to run tasks anywhere at any time.

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Building a Better Profanity Detection Library with scikit-learn

Victor Zhou

A few months ago, I needed a way to detect profanity in user-submitted text strings: This shouldn’t be that hard, right? I ended up building and releasing my own library for this purpose called profanity-check. Of course, before I did that, I looked in the Python Package Index (PyPI) for any existing libraries that could do this for me. The only half decent results for the search query “profanity” were: profanity (the ideal package name) better-profanity : “Inspired from package profanity of Ben