About This Show
Linear Digressions is a podcast about machine learning and data science. Machine learning is being used to solve a ton of interesting problems, and to accomplish goals that were out of reach even a few short years ago.
Most Recent Episode
Feature Processing for Text Analytics
3 days ago
It seems like every day there's more and more machine learning problems that involve learning on text data, but text itself makes for fairly lousy inputs to machine learning algorithms. That's why there are text vectorization algorithms, which re-format text data so it's ready for using for machine learning. In this episode, we'll go over some of the most common and useful ways to preprocess text data for machine learning.
Rated 4 out of
Podcasting with obstacles
She is lovely, humble, and knows her stuff. He is an annoying dumb who interrupts her every 20 seconds with nonsenses, wild guesses and long rants about topics he doesn't know, putting it hard for her to make her point. It's worth hearing because of her, but gee, you have to have a lot of patience because of him.
Date published: 2016-10-26
Rated 5 out of
James From JAMSO
A super show that is enough for the newbies and also informed for the world of machine learning and AI.
Great insights and discussions that are easy to refer, apply and understand. - Nice job
Date published: 2017-02-24
Rated 4 out of
I Love Udacity, I hope you always updated this podcast
Date published: 2015-04-25