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PyData Berlin February meetup

Wed, 21 Feb 2018 5:50 PM

PyData Berlin February meetup

Hallo everyone,

we are looking forward to seeing you at our 2nd meetup of 2018! Doors open at 6:50 PM and the talks are going to start at 7:15 PM.
We will have 3 talks.

Speaker 1: Dror Atariah, reBuy GmbH Berlin

Title: Moving from local machine to Dask cluster using Terraform

Abstract: As part of the never-ending effort to improve reBuy and turn it into a market leader, we recently decided to tackle the challenges of our customer services agents. As a first step, a dump of tagged emails was created and the first goal was set: build a POC that tags the emails automatically. To that end, NLP had to be used and a lengthy (and greedy) grid search had to be executed. So lengthy, that 4 cores of a notebook were working for couple of hours with no results. This was the point when I decided to explore dask and its sibling distributed. In this tutorial/post we shall discuss how to take a local code doing grid search using Scikit-Learn to a cluster of AWS (EC2) nodes.

Speaker's blog - http://drorata.github.io/

Speaker 2: Jeremy Tuloup

Title: p5.js in the Jupyter Notebook for custom interactive visualizations

Abstract: The Jupyter Notebook is a wonderful tool for interactive and exploratory computing. The Python ecosystem already comes with popular libraries for charting and visualizations, like Bokeh and Plotly.
However in some situations we need access to a lower level API such as the HTML canvas to draw custom shapes (triangles, circles, squares) for a specific problem.
During this presentation, we will go through what it takes to build a custom visualization on top of existing Javascript frameworks like p5.js, directly in the Notebook with the %%javascript cell magic.

Speaker's website: https://jtp.io/

Speaker 3: Rudradeb Mitra

Title: Predicting your next customer using Neural network

Abstract: It is not only the sectors of retail and e-commerce but any company is going to hugely benefit if machines can predict who will be the next customers of their product or services.
In this short talk the speaker will explain how neural networks can be used to predict next customer using classification, LSTM and reinforcement learning.
A semi-technical article written by the speaker on the same topic:
https://www.linkedin.com/pulse/predicting-buying-behavior-through-machine-learning-case-mitra/

About the speaker: Rudradeb started as an AI researcher in 2002 and went on to publish 10 research papers in various International AI conferences and journals. After finishing his graduation from Univ. of Cambridge, he became a global entrepreneur and built companies in 5 countries.
He is deeply interested in sharing his knowledge and speaks and writes on AI, startups, growth, cultures. Till now he has spoken at over 20 events in 6 countries. He is also a mentor of Google Launchpad and Founders Institute.
His Linkedin profile: https://www.linkedin.com/in/mitrar/

---------------------------------------------------------------
We are also looking for more speakers for our future meetups and would be great if anyone would like to present their work or interesting Ideas at future events. Please write us at info [at] pydata [dot] berlin or fill out our handy form
https://berlin.pydata.org/talk-or-event-idea-submission/ See you soon!

If you want to give a lightning talk, send us an email at [masked] or come and say hi at the event.

-PyData Berlin Team

Event Organizers
  • PyData Berlin

    PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. PyData provides a forum for the international community of users and developers of data analysis tools to share ideas and learn from each other.  The global PyData network promotes discussion of best practices, new approaches, and emerging technologies for data management, processing, analytics, and visualization. PyData communities approach data science using many languages, including (but not limited to)

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