What we're about

The best way to become an expert in machine learning is to learn from the best. Our group meets twice a week for peer-to-peer discussions on machine learning. Tuesday meetups are focused on applied machine learning. Friday meetups are discussions on a pre-selected research paper. Papers may include image processing, AGI, NLP or other machine learning topics. The papers and our discussions are in English. Meetings are limited to 25 people so our peer-to-peer style discussions don't become overwhelming.

Hi, I'm Robert Salita, the Paris group's organizer. I coordinate meetings with Paul-Louis (Algolia). I'm a veteran of the successful San Francisco Deep Learning Study Group. By day, I'm a developer tool and compiler writer by day. By night, I'm a machine learning insomniac.

Don't worry about not fully understanding the research papers. Even top San Francisco members would comment that they only understood 75% of the paper. Papers are often short on key details, don't make source code available, or lack ways to experiment with or duplicate findings.

We use the ParisML slack group for discussions. Ask the event's host for an invite.

Upcoming events (5+)

The World of Ensemble Learning

Algolia

Wikipedia: Ensemble methods use multiple learning algorithms to obtain better predictive performance than could be obtained from any of the constituent learning algorithms alone. We meet every Friday for a peer-to-peer discussion of a pre-selected machine learning research paper. The paper and discussion is in English. Tuesdays we meet to discuss applied topics. The following will be frequently updated. Resources: 1. Simple Guide for Ensemble Learning Methods: https://towardsdatascience.com/simple-guide-for-ensemble-learning-methods-d87cc68705a2 2. Combining Multiple TensorFlow Hub Modules into One Ensemble Networks with AdaNet: https://medium.com/tensorflow/combining-multiple-tensorflow-hub-modules-into-one-ensemble-network-with-adanet-56fa73588bb0

Applied Machine Learning - Topic to be Announced

Tuesdays are applied machine learning day. We have a peer-to-peer discussion with a focus on an applied machine learning topic. We also meet on Fridays when we discuss a predetermined research paper. Bring lunch and, if you wish, a research paper, some questions, a demo, a problem, or just come to hang out.

Mock Interview 2019

Algolia

Mock Interviews topic will be repeated on Tuesday, April 2nd. The content will be the same for both days. How good are we? Have we progressed since Mock Interview 2018? In honor of April Fools Day, we'll test our chops by holding a mock interview. The group, collectively, will be given data scientist and machine learning interview questions to answer. We meet every Friday for a peer-to-peer discussion of a pre-selected machine learning research paper. The paper and discussion is in English. Tuesdays we meet to discuss applied topics. Bring lunch and, if you wish, a research paper, some questions, a demo, a problem, or just come to hang out.

Mock Interview 2019

Algolia

This event is a repeat of last Friday's Mock Interview 2019. The content will be the same for both days. How good are we? Have we progressed since Mock Interview 2018? In honor of April Fools Day, we'll test our chops by holding a mock interview. The group, collectively, will be given data scientist and machine learning interview questions to answer. Tuesdays are applied machine learning day. We have a peer-to-peer discussion with a focus on an applied machine learning topic. We also meet on Fridays when we discuss a predetermined research paper. Bring lunch and, if you wish, a research paper, some questions, a demo, a problem, or just come to hang out.

Photos (4)