So, um... what about machine learning for audio applications? In the course of starting this podcast, we've edited out a lot of "um"'s from our raw audio files. It's gotten now to the point that, when we see the waveform in soundstudio, we can almost identify an "um" by eye. Which makes it an interesting problem for machine learning--is there a way we can ... Show More
Jul 2020
So long, and thanks for all the fish
All good things must come to an end, including this podcast. This is the last episode we plan to release, and it doesn’t cover data science—it’s mostly reminiscing, thanking our wonderful audience (that’s you!), and marveling at how this thing that started out as a side project g ... Show More
35m 44s
Jul 2020
A Data Science Take on Open Policing Data
A few weeks ago, we put out a call for data scientists interested in issues of race and racism, or people studying how those topics can be studied with data science methods, should get in touch to come talk to our audience about their work. This week we’re excited to bring on Tod ... Show More
23m 44s
Feb 2019
Machine Learning In The Enterprise
Summary
Machine learning is a class of technologies that promise to revolutionize business. Unfortunately, it can be difficult to identify and execute on ways that it can be used in large companies. Kevin Dewalt founded Prolego to help Fortune 500 companies build, launch, and mai ... Show More
48m 19s
May 2023
Episode 356: Ummmmmmmmm and failed spikes
In this episode, Dave and Jamison answer these questions: I recently started listening to your podcast from the very start of the show! One of the largest differences I noticed (aside from the audio quality, lol), is how often you used filler words like “um”. How on earth did you ... Show More
28m 54s
May 2023
EP27 tiktok algorithm different make it powerful
Tell me some of the things that it is looking at ,so obvious things like if someone presses like or stay on a video for a long time ,that give you a clue more like that . But is it subject matter ? what are the array of things you have notice , that you can actually track that ... Show More
2m 23s