PyData Hamburg March Meetup

Hey PyData Hamburg community,

How is it going? We hope you are doing great today, and we would like to invite you for our March meetup. Yay! :-)

What you need to know to participate in remote meetups:

• Our virtual room capacity is limited to 300 attendees. So RSVP on meetup.com please and do take the time to cancel if you cannot join.
• The link to the Zoom meeting will be displayed to you on meetup.com when you RSVP. Please do not share it.
• You need to be logged in with a free Zoom account - this is an anti-troll measure.
• Please check in a few minutes before the event starts so we can support you with questions about access.

Take care, stay healthy and see you soon.
Your Pydata Hamburg crew

# (Talk 1) Aleksander Molak: Causal Discovery: An Introduction

Talk description:
Interest in Causal Inference has been steadily increasing over the past decade. Causality holds the great promise of providing unbiased estimates of causal effects from observational data that can be used in medicine, marketing, policy design and many other fields. To estimate these effects, most tools require the user to provide some sort of causal knowledge – e.g. a causal graph. In the real world, true causal graphs are most often unknown. During the talk we’ll look at the methods that attempt to retrieve a causal graph from observational data. We’ll briefly discuss their strengths and weaknesses and see basic practical examples of Causal Discovery in Python.

About Aleksander

Aleksander is a Machine Learning Engineer & Researcher at IRONSCALES. He is also a Machine Learning Researcher at TensorCell. He has a Master's degree is Psychology from the University of Warsaw, Poland.

***

# (Talk 2) Smriti Singh: NLP for Hate-speech detection: Why does it matter and what can we do?

Talk Description:
In a world where social media is becoming one of the most prominent
platforms for social impact, there has been a surge in hate speech,
cyberbullying and abusive speech on social media. Consequently, there
has been an increase in research that aims to automate the detection
of offensive content. In this talk, I’ll cover the following topics:
1. What are the most common different forms of hate-speech that we see
on social media today?
2. Why is detecting hate-speech important?
3. NLP and Machine Learning for Hate speech detection: An overview
4. NLP and Deep Learning for hate speech detection: An overview
5. NLP and Machine Learning vs Deep Learning: When to use which?
6. How can we help? Examples of open source frameworks and public
datasets

About Smriti

Smriti Singh is an NLP Research Intern at Meedan and also a Research Assistant at The Centre for Artificial and Machine Intelligence, Manipal and an upcoming Data Science Intern at UnitedHealth Group Optum . She is currently studying Information Technology at Manipal Institute of Technology, India.

PyData is a community for developers and users of open source data tools. PyData is an educational program of NumFOCUS, a 501(c)3 non-profit organization in the United States. The PyData Code of Conduct governs this meetup.