Paris Machine Learning Group

Disseminate and Communicate the most recent Data-Science research

We aim to disseminate Artificial Intelligence & Machine Learning cutting edge algorithms and results in free conferences accessible to non-specialists.

At least, once a month the most prominent researchers speak about emergent theories and state-of-the-arts Machine Learning (ML) algorithms.

The forefront Machine Learning developers from startups to big corporations explain their brightest applications of Artificial Intelligence (AI).

The sharpest AI technologists and innovative winners of Data-Science competitions share hidden and precious computer code and explanations that conduct to obtain the best possible results.

We are focus on self-learning algorithms rather than in technology and architecture. This reflects our DNA and interests. Other computer-science groups put their attention to technology stack and do a very job on this. This complement our job.

Meet expert-researchers and connect with techno-geeks

Beyond this hard to obtain goal, we also want to give to our members the opportunity to know and meet in person those who experiment Machine Learning algorithms and tools.

We must admit that Machine Learning is hard and one of the key is the ability to talk to the right person which will give the insight to succeed in applying Machine Learning.

Members of our group are passionate about Artificial Intelligence

Some are newbies searching for a big picture in the Machine Learning land, other are high level specialists coming to talk to peers.

We bring to our audience the brightest AI specialists

• Academics share with us the most recent research
• Startup technologists give insight to apply cutting-edge algorithms with real life datas
• Data competition winners explain how to win contests and what are the most promising paths

In 80 meetups, several hundred speakers gave prominent talks in wide variety of subjects.

Some of them, were related to challenges facing in Industry & Telecom. Other were about problems in Service.

These talks are so much diverse that it could be very challenging to summarize them.