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Machine Learning and Deep Learning

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Hosted By
Stefan E.
Machine Learning and Deep Learning

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Back from summer vacation we want to start a fresh series of new events!

Talk 1:

The History and Near Future of Deep Learning, Dave Kammeyer (30-45 min)

In the past few years, the field of Deep Learning has emerged from seemingly nowhere and taken over the fields of Speech Recognition, Image Recognition, Natural Language Processing and (soon) Machine Translation. In this talk, Dave will give an overview of the field, its history, and some of the near-term opportunities and challenges in Deep Learning.

Talk 2:

Infrastructure, Data and Machine Learning at lateral.io (http://lateral.io/) (30 min)
Benjamin Wilson & Stephen Enright-Ward

Lateral.io (http://lateral.io/) is a Berlin-based machine learning startup. We offer an API that enables content providers to serve recommendations based on the textual content and user behaviour, and that allows enterprises to navigate and rediscover their huge stores of documents. Our service is multi-domain and multi-lingual. I'll talk a little about the architecture of our API ecosystem, about our machine learning and about our experience using popular big data tools.

Lightning Talk 3:

Propose your Lightning Talk! (15 min)

Furthermore we will raffle free tickets for

A) the distributed-matters.org IT conference on 19th September in Berlin. Don't miss the chance to come or use our discount code for a 20% discount to talk to Kyle Kingsbury ("Call me maybe project"), Salvatore Sanfillipo (Redis) and many more...

B) the 2 day Flink-Forward Conference 12./13th October at Kulturbrauerei with speakers from OGoogle, Huawei, Amadeus, Ericsson, Zalando, etc. and including two days of workshops.

Tipps zur Anfahrt:

Zwischen U-Amrumer und U-Leopoldplatz sind die großen Betonbuchstaben der Beuth Hochschule (rechts von der schwarzen Dampfmaschine). Rechts davon ist die große Mensa. Wenn man vor der Mensa steht, ist es das Gebäude 25m links davon (Haus Bauwesen). Dort hinein und gleich die linke Treppe hoch bis geht nicht mehr. Es wird alles mit "Big Data Meetup" ausgeschildert sein!

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Big Data Beers
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Beuth Hochschule, Haus Bauwesen, Raum H1
Luxemburger Straße · 13353 Berlin