Easily Fooling Deep Neural Networks

This episode overviews some of the fundamental concepts of natural language processing including stemming, n-grams, part of speech tagging, and th bag of words approach.

17 Huhti 201513min

Guest Youyou Wu discuses the work she and her collaborators did to measure the accuracy of computer based personality judgments. Using Facebook "like" data, they found that machine learning approaches...

10 Huhti 201531min

This episode explores how going wine testing could teach us about using markov chain monte carlo (mcmc).

3 Huhti 201515min

This episode introduces the idea of a Markov Chain. A Markov Chain has a set of states describing a particular system, and a probability of moving from one state to another along every valid connected...

20 Maalis 201511min

Nicole Goebel joins us this week to share her experiences in oceanography studying phytoplankton and other aspects of the ocean and how data plays a role in that science.   We also discuss Thinkful ...

13 Maalis 201533min

This episode explores Ordinary Least Squares or OLS - a method for finding a good fit which describes a given dataset.

6 Maalis 201518min

New York State approved the use of automated speed cameras within a specific range of schools. Tim Schmeier did an analysis of publically available data related to these cameras as part of a project a...

27 Helmi 201516min

The k-means clustering algorithm is an algorithm that computes a deterministic label for a given "k" number of clusters from an n-dimensional datset.  This mini-episode explores how Yoshi, our lilac c...

20 Helmi 201514min