Linear Digressions

Ben Jaffe and Katie Malone

+27 FANS
In each episode, your hosts explore machine learning and data science through interesting (and often very unusual) applications.
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21:55 | Apr 2nd, 2018

If you've done image recognition or computer vision tasks with a neural network, you've probably used a convolutional neural net. This episode is all about the architecture and implementation details ...Show More

24:52 | Jan 20th

Adversarial examples are really, really weird: pictures of penguins that get classified with high certainty by machine learning algorithms as drumsets, or random noise labeled as pandas, or any one of...Show More
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29:34 | Jan 13th

Dimensionality reduction redux: this episode covers UMAP, an unsupervised algorithm designed to make high-dimensional data easier to visualize, cluster, etc. It’s similar to t-SNE but has some advanta...Show More

24:47 | Jan 5th

Picking a metric for a problem means defining how you’ll measure success in solving that problem. Which sounds important, because it is, but oftentimes new data scientists only get experience with a f...Show More

26:15 | Dec 30th, 2019

For something as multifaceted and ill-defined as data science, communication and sharing best practices across the field can be extremely valuable but also extremely, well, multifaceted and ill-define...Show More
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