Lecture

Machine Learning Opportunities in IoT Era

Description

This lecture features an interview with Professor Martin Jaggi, an expert in optimization and machine learning at EPFL, discussing machine learning opportunities in the IoT era. Topics include training algorithms, unsupervised machine learning, distributed machine learning, decentralized training, and privacy-preserving techniques.

In MOOC

Instructors (2)

ullamco veniam ea

Et ullamco elit id reprehenderit cillum excepteur deserunt ut. Ad ea sit fugiat nisi cillum proident officia dolore culpa. Nostrud ad nostrud reprehenderit tempor aliqua sunt.

aliqua aliquip excepteur

Deserunt eu id irure tempor deserunt amet. Sunt consequat irure cupidatat ex duis commodo officia incididunt do eu irure quis. Non fugiat in adipisicing minim elit cupidatat ipsum laborum labore veniam minim velit. Labore duis veniam voluptate commodo excepteur pariatur. Cupidatat nostrud consequat ipsum ipsum non.

Official source

https://mediaspace.epfl.ch/media/0_tc1z4xuc

About this result

This page is automatically generated and may contain information that is not correct, complete, up-to-date, or relevant to your search query. The same applies to every other page on this website. Please make sure to verify the information with EPFL's official sources.

Related lectures (33)

Graph Chatbot

Chat with Graph Search

Ask any question about EPFL courses, lectures, exercises, research, news, etc. or try the example questions below.

DISCLAIMER: The Graph Chatbot is not programmed to provide explicit or categorical answers to your questions. Rather, it transforms your questions into API requests that are distributed across the various IT services officially administered by EPFL. Its purpose is solely to collect and recommend relevant references to content that you can explore to help you answer your questions.