Using Models in the Wild and Women in Machine Learning
Talking Machines
English - February 12, 2015 15:40 - 45 minutes - 41.3 MB - ★★★★★ - 140 ratingsTechnology News Tech News computer science aiml research artificial intelligence networks deep programming intelligence artificial computers Homepage Download Apple Podcasts Google Podcasts Overcast Castro Pocket Casts RSS feed
Previous Episode: Common Sense Problems and Learning about Machine Learning
Next Episode: The History of Machine Learning from the Inside Out
In episode four we talk with Hanna Wallach, of Microsoft Research. She's also a professor in the Department of Computer Science, University of Massachusetts Amherst and one of the founders of Women in Machine Learning (better known as WiML). We take a listener question about scalability and the size of data sets. And Ryan takes us through topic modeling using Latent Dirichlet allocation (say that five times fast).
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