Sat.Sep 09, 2017 - Fri.Sep 15, 2017

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Berlin vs San Francisco: Why Berlin’s Silicon Allee is Europe’s new Silicon Valley

Dataconomy

With “Brexit” looming over Britain, a promising new startup hub is emerging in Europe: Berlin’s Silicon Allee. As a comparison between London and Berlin demonstrates, chances are the latter may claim the position as EU’s most important startup ecosystem. But it takes a lot more to stand a chance against. The post Berlin vs San Francisco: Why Berlin’s Silicon Allee is Europe’s new Silicon Valley appeared first on Dataconomy.

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Teaching your fish tank LEDs new tricks

Christian Haschek

**In this project I'll upgrade a cheap fish tank LED light to be dimmable, controllable via Wifi a

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professionals

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Named entity recognition with conditional random fields in python

Depends on the Definition

This is the second post in my series about named entity recognition. If you haven’t seen the first one, have a look now. Last time we started by memorizing entities for words and then used a simple classification model to improve the results a bit.

Python 40
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When Data Science Alone Won’t Cut it

Dataconomy

I recently read an article (paywall) in the WSJ about Paul Allen’s Vulcan initiative to curb illegal fishing. It’s insightful and sheds light on Big Data techniques to address societal problems. After thinking on the story, it struck me that it could be used as a pedagogical tool to synthesize data science. The post When Data Science Alone Won’t Cut it appeared first on Dataconomy.

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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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Four Strategic Differentiators of an Enterprise Knowledge Graph

Dataconomy

With its unlimited size, an Enterprise Knowledge Graph contains all of an organization’s data — structured, unstructured, internal or external — presented as trillions of interlinked facts made available in any combination, on-demand to approved users. The Enterprise Knowledge Graph enables organizations to take advantage of in-memory computing at cloud-scale.

Big Data 166
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Announcing Data Natives Berlin 2017!

Dataconomy

Data Natives Berlin 2017: A Conference for the Data-Driven Generation This November, Dataconomy’s global community of data science enthusiasts will once again gather in Berlin for the widely-celebrated, third edition of the Data Natives conference. Last year, Data Natives brought together 1295 attendees, 20 partners, 60 speakers, 20 media partners, The post Announcing Data Natives Berlin 2017!