Learn how to become an AI Super-hero in research

Add to your list(s) Download to your calendar using vCal

• Kenji Takeda - Director, Azure for Research, Microsoft Research (@MSFTResearch), Visiting Fellow Alan Turing Institute
• Thursday 08 February 2018, 13:00-14:30
• Kavli Large Meeting Room, Kavli Building.

If you have a question about this talk, please contact James Fergusson.

This session is for everyone who wants to learn, develop, or super-charge their research with AI and machine learning. We’ll go beyond the hype. This session is where the rubber hits the road, to discover how you can use the latest AI and machine learning tools and techniques for your project. Come along if you want tinker with deep-learning for image recognition, deploy machine learning apps using R and Python, mine academic publications, analyse time-series data, or want to ask questions about how AI can help your research. We’ll show how easy this is with concrete examples and tutorials of AI and machine learning in science and engineering. Also come along if you just want to see some really cool stuff! http://microsoft.com/ai

This talk is part of the Data Intensive Science Seminar Series series.

This talk is included in these lists:

• Cambridge Centre for Data-Driven Discovery (C2D3)
• Cambridge talks
• Chris Davis' list
• Combined External Astrophysics Talks DAMTP
• Cosmology, Astrophysics and General Relativity
• Institute of Astronomy Extra Talks
• Institute of Astronomy Talk Lists
• Interested Talks
• Kavli Large Meeting Room, Kavli Building
• Trust & Technology Initiative - interesting events
• bld31
• ndk22's list
• ob366-ai4er
• rp587

Note that ex-directory lists are not shown.