MeetUp: Classifying Text Data with Embeddings // How to become a data scientist

Welcome to our 3rd DATANOMIQ Data Science MeetUp, in Berlin!

April 3rd: 6 pm until 8 pm.

Click the link to participate:

Today’s topic is all about Classifying Text Data with Embeddings, presented by Artur Zeitler. Artur is a data scientist at DATANOMIQ.
Make sure to come early to grab a voucher for a free drink.

doors open at 6 pm (drinks)

PART ONE (6:30 pm):
– The advantages of word embeddings compared to Bag-of-Words
– The differences between the popular embeddings word2vec and GloVe
– How doc2vec can numerically represent whole documents
– How to apply doc2vec in Tensorflow to classify documents
– open questions (7pm)
15 min break

PART TWO (7:15 pm):
– How to start a career as a data scientist
(presented by Benjamin Aunkofer. Benjamin is Chief Data Scientist at DATANOMIQ.)
– Open questions


Click the link to participate:


Next MeetUp:
May 8: Imbalanced datasets: Dealing with the minority class


Event-Hinweise vom Redaktionsteam des Data Science Blog.

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