PyMunich: Parallel Computing & NLP Meetup

Can’t miss this PyMunich meetup – great speakers from London and New York will be giving talks on Parallel Computing and Natural Language Processing topics. This meetup is rather a bigger one, organized together with Machine Learning group and hosted by Stylight.

The event is free, reserve your spot on meetup.com. See the review below.

A short video teaser:

Talks:

1. Word Embeddings for Natural Language Processing in Python by Marco Bonzanini

This talk describes the intuitions behind this family of algorithms, we’ll explore some of the Python tools that allow us to implement modern NLP applications and we’ll conclude with some practical considerations.

Marco is a freelance Data Scientist in London. Backed by a PhD in Information Retrieval, he specializes in search applications and text analytics applications. Active in the PyData community, he helps co-organising the PyData London meet-up.

 

2. Parallelizing Pandas, NumPy, and Scikit-Learn with Dask by Ian Stokes-Rees

Dask parallelizes Python libraries like NumPy, pandas, and scikit-learn, bringing a popular data science stack to the world of distributed computing. This talk will provide an overview of how Dask works then demonstrate Dask in action, showing how it can be used to transparently scale from a single thread of execution on a laptop to many parallel processes running across a cluster. Dask has been used on production systems with over 1000 cores and works well for computational units in the millisecond range.

Ian is a computational scientist at Continuum Analytics, the creators of Anaconda. He has been using Python for 15 years on scientific computing problems ranging from CERN’s distributed computing infrastructure (PhD at Oxford) to protein structure studies (postdoc at Harvard Medical School). Today he helps organizations adopt Anaconda and Python as a strategic platform for data science.

 

See you next time!

With around 90 people it was a great meetup, thanks, everyone!

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