Lecture 11: Introduction to Machine Learning
Listen now
Description
In this lecture, Prof. Guttag introduces machine learning and shows examples of supervised learning using feature vectors.
More Episodes
Published 05/10/17
Prof. Guttag continues the conversation about statistical fallacies and summarizes the take-aways of the course.
Published 05/10/17
Prof. Guttag finishes discussing classification and introduces common statistical fallacies and pitfalls.
Published 05/10/17
Links
No website
No RSS feed
Twitter
Facebook
Instagram
Patreon
Genres
Artwork or description wrong?
Request an update »
Updates may take a few minutes.
Do you host a podcast?
Track your ranks and reviews from Spotify, Apple Podcasts and more.
See hourly chart positions and more than 30 days of history.
Get Chartable Analytics »
See hourly chart positions and more than 30 days of history.
