Machine Learning with Python


Details
Dear PyLadies 💚🐍
Update:
#1: Talent.io is hosting us in their Paris offices and will provide some food and drinks to network after the talks 🍹🍴.
#2:❗For safety reasons, the venue's staff will check everyone's identity on site. 📝Please remember to bring an ID with you so they can let you in. They will check that your first name and last name match with your name on meetup.com. If your name on meetup.com is not the one which is on your ID please let us know by email at paris@pyladies.com and we will let them know :) Thank you!
#3: The room can welcome only 45 people to respect barrier gestures.
Please make sure to be on time. We can’t guarantee a seat once the meetup has started
***
We are very excited to announce our first on-site event featuring two amazing speakers:
🌟 Mojdeh Rastgoo (Saint Gobain)
talk title: Machine learning for industry
🌟 Guillaume Lemaitre (Sciki-Learn Foundation, Inria)
talk title: Model inspection
Please note that the event is free but there is limited number of spaces.
Feel free to come few minutes before to get your seat and chill out before the event.
🌟 Agenda (preliminary)
7:15 - 7:30 get your seat and chill out
7:30 - 7:45 welcome by talent.io and Pyladies Paris
7:45 - 8:30 Machine learning for industry, Mojdeh Rastgoo
8:30 - 9:15 Model inspection, Guillaume Lemaitre
9:15 - 10:15 Cocktail, networking
**talent.io** will be our host and sponsor of snacks during networking session after the talks: thank you 💚
📢 Call for speakers
Interested in speaking at our upcoming meetups, please drop us an e-mail to paris@pyladies.com
If you have referrals of speakers you want us to invite, let us know also. Being a virtual event helps close the boundaries of inviting speakers further afield than Paris 😊.
If you have any questions, feel free to message us on Meetup or email us at paris at pyladies.com.
# 🔍 FAQ
Q. I'm not female, is it ok for me to attend?
A. Yes, PyLadies Paris events are open to everyone at all levels.
COVID-19 safety measures

Machine Learning with Python