Dataconomy

SEPTEMBER 13, 2017

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.

186

186

Christian Haschek

SEPTEMBER 9, 2017

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

52

52

Depends on the Definition

SEPTEMBER 9, 2017

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

Python 40

Dataconomy

SEPTEMBER 11, 2017

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.

Data Science 185

Data Science Big Data Big Data 185

Speaker: Ben Epstein, Stealth Founder & CTO | Tony Karrer, Founder & CTO, Aggregage

When tasked with building a fundamentally new product line with deeper insights than previously achievable for a high-value client, Ben Epstein and his team faced a significant challenge: how to harness LLMs to produce consistent, high-accuracy outputs at scale. In this new session, Ben will share how he and his team engineered a system (based on proven software engineering approaches) that employs reproducible test variations (via temperature 0 and fixed seeds), and enables non-LLM evaluation m

Dataconomy

SEPTEMBER 15, 2017

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

Big Data Big Data Analytics Analytics 166

Dataconomy

SEPTEMBER 13, 2017

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!

Data Science 122

Data Science 122