Interview of Statistics and ML Expert - Pierre Alquier

Описание: Pierre’s Tutorial on PAC-Bayes bounds is titled: User-friendly Introduction to PAC-Bayes Bounds.

In this video, we have the pleasure to receive one of the most famous researchers in machine learning of our time: Pierre Alquier. He is famous for his work in the field of statistical machine learning theory, generalization bounds and PAC-Bayes in particular. Today, he shares with us how to study ML, and gives us tips on how to make an impactful presentation in research or other. He further explains his research topic, and guides on how to do to find our own.

On this YouTube channel, you will find:
recent research papers explained in 10 min
vlogs to ML related events like summer schools
interviews with famous researchers
advice for careers or study in ML
and much more…

Whether you are a professional working in ML or a tech enthusiast, this channel is the right place for you, so make sure to check my videos and subscribe for more content.

#interview #statistics #bayes #researcher #ai #ml #artificialintelligence #machinelearning #llm #datascience #research #phd #master #cs #computerscience #data #python #programming #tech #technology #learning

0:00 Intro
0:48 Pierre’s Background
1:30 Why PAC-Bayes Bounds
2:29 International Experience
3:31 FAST CAM!
4:28 Typical Research Day
5:18 Research vs Teaching Time
6:02 What are PAC-Bayes Bounds
7:46 Applications of PAC-Bayes
9:26 How do you find Ideas of Research Topics
11:28 GAME!
14:19 Tips for an Impactful Presentation
16:53 Roadmap to Study ML

— Credits —

Photo of ENSAE (France):
Par Strawhat42 — Travail personnel, CC BY 4.0, https://commons.wikimedia.org/w/index...

Photo of Université Paris Diderot (France):
Par I, AlbertM, CC BY-SA 3.0, https://commons.wikimedia.org/w/index...

Photo of Université Paris Diderot (France):
Par Hypersite — Travail personnel, CC BY-SA 3.0, https://commons.wikimedia.org/w/index...

Photo of University College Dublin (Ireland):
By Legiglass - Own work, CC BY-SA 3.0, https://commons.wikimedia.org/w/index...

Photo of ESSEC Business School, Singapore Campus:
By Augustin13 - Own work, CC BY-SA 4.0, https://commons.wikimedia.org/w/index...

Photo of Lucien Brig:
By Renate Schmid - https://opc.mfo.de/detail?photo_id=12064, copyright is MFO, CC BY-SA 2.0 de, https://commons.wikimedia.org/w/index...

Music from #Uppbeat (free for Creators!):
https://uppbeat.io/t/pecan-pie/just-now
License code: XAF1RAXSZTXK9TID