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?

AI 40
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The 2nd Generation of Innovation Management: A Survival Guide

Speaker: Chris Townsend, VP of Product Marketing, Wellspring

Over the past decade, companies have embraced innovation with enthusiasm—Chief Innovation Officers have been hired, and in-house incubators, accelerators, and co-creation labs have been launched. CEOs have spoken with passion about “making everyone an innovator” and the need “to disrupt our own business.” But after years of experimentation, senior leaders are asking: Is this still just an experiment, or are we in it for the long haul?

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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