Replicating Airbnb's Machine Learning Powered Amenity Detection Project | Code Walkthrough (live)
I read an article the other which described how Airbnb uses computer vision and machine learning to automatically detect amenities (household objects) in their listings. I loved it so much I decided to replicate it in my own version as a machine learning project.
We've hit the halfway mark in the 42-day project, so this livestream is dedicated to going through the code we have so far and what's next.
Part 1 (overview) - • Using Machine Learning to Replicate A...
Part 2 (data exploration) - • Using Machine Learning to Replicate A...
Part 3 (data manipulation) - • Replicating Airbnb's Machine Learning...
Part 4 (building a small model) - • I got Detectron2 working! | Airbnb Ma...
Note: I am not affiliated with Airbnb nor are they involved with this series of videos in any way.
Links:
My machine learning course - https://dbourke.link/mlcourse
All of my notes/ideas in Notion - https://dbourke.link/airbnb42days
Airbnb Amenity Detection article - / 05qperz3a4
Weights & Biases (tool for tracking deep learning experiments) - https://www.wandb.com/
Weights & Biases tutorials - https://www.wandb.com/tutorials
Get email updates on my work - https://dbourke.link/newsletter
Support on Patreon - https://bit.ly/mrdbourkepatreon
Connect elsewhere:
Web - https://dbourke.link/web
Quora - https://dbourke.link/quora
Medium - https://dbourke.link/medium
Twitter - https://dbourke.link/twitter
LinkedIn - https://dbourke.link/linkedin
#machinelearning #datascience #deeplearning
