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...is a collective term for characteristics that the two institutions share.
·-- PUBLISHED -----·> Infinite Skills
·-- LECTURESHIP ---·> Machine Learning for Designers
·-- LECTURE DATE --·> 05-2017
04-2017 {Published}
·-- LEVEL ---------·> [ ] Starting {Beginner|Newcomer}
[■] Progressing {Intermediate|Advanced}
·-- PERIOD --------·> 02+ h
·-- SCALE ---------·> 14x50mb
·-- LECTURE LINK --·> https://goo.gl/j1AAg6
Recent advances in machine learning (ML), natural language processing,
image recognition, content personalization, and behavior prediction are
radically changing the capabilities of software and the interfaces
people use to interact with that software.
This course provides an insider's look at contemporary ML technologies
and how these technologies are transforming the next generation of
computing interfaces for search engines, intelligent assistants,
connected homes, and open-world video games. Created for designers new
to the world of machine learning, the course provides an explanation of
the basic concepts of ML, offers a hands-on introduction to ML's core
toolsets, and surveys the upcoming opportunities for designers with ML
skills.
Patrick Hebron is a scientist-in-residence and adjunct graduate
professor at NYUÆs Interactive Telecommunications Program, where he
leads programs focused on the intersection of art and technology. He is
the founder of Foil, a digital design tool company, is author of the
O'Reilly e-book, "Machine Learning for Designers," and he has worked as
a software developer and design consultant for numerous corporate
clients and cultural institutions.