Machine Learning Conference: Everything you need to know about #ML2018_Congress*TWfiaWif4HDbo7OL.jpg

Machine Learning Conference: Everything you need to know about #ML2018_Congress

Machine Learning 2018 cordially invites all participants across the world to attend the World Machine Learning and Deep Learning Congress which is going to be held during August 30–31 in Dubai, UAE. The main theme of the conference is “Machine Learning: Discovering the New Era of Intelligence”. This conference aimed to unite all the people engaged in the enormous areas of Machine Learning and Deep Learning and exchange the knowledge & ideas and also updating the limits of the future technology.

Machine Learning 2018 offers a unique common platform where expert talks, young researcher’s presentations will be placed in every session of the meeting. Sessions like Keynote Speeches, Oral Presentations, Poster Presentations, Universal Workshops, B2B Meetings, Panel Discussions, Q&A sessions, Industry expert interactions will keep up your enthusiasm during the entire conference. There will be awards distribution for some categories like Best Poster, Best Oral presentation, Young Researcher Forums (YRF), e-Poster presentations and Video presentations by the experts from both Industry & Academic.

What will you learn???

Knowledge is everywhere; you can learn whatever you want from any source. But Machine Learning 2018 has made your search easy & compiled 19 sessions on emerging topics at a single place. Those sessions are:

We feel our expert Organizing Committee is our major asset, however, Speakers are what make events stand out. World Machine Learning and Deep Learning Congress is bringing most innovative minds, practitioners, experts, thinkers, eminent Researchers, Scientists, Professors, Developers, Analysts and Newbies under a solitary rooftop to inspire and present to the delegates new innovative ways to work and innovate through their data. Your presence over the venue will add one more feather to the crown of Machine Learning 2018.

For more details check out the website:

Contact: Amelia Smith