a16z Podcast: The History and Future of Machine Learning
How have we gotten to where were are with machine learning? Where are we going?
a16z Operating Partner Frank Chen and Carnegie Mellon professor Tom Mitchell first stroll down memory lane, visiting the major landmarks: the symbolic approach of the 1970s, the "principled probabalistic methods" of the 1980s, and today's deep learning phase. Then they go on to explore the frontiers of research. Along the way, they cover:
How planning systems from the 1970s and early 1980s were stymied by the "banana in the tailpipe" problem
How the relatively slow neurons in our visual cortex work together to…
The skinny
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