AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
3min chapter
Why he quit a $500k+ machine learning job at Meta (Facebook): a candid review of his experience, mistakes, and ML best practices - Damien Benveniste - the data scientist show049
The Data Scientist Show
Do You Have a Base Line for Machine Learning?
I think one thing is always important when we develop much learning model is to know your base line. So comparent to the base line, ah, how does your model work? Right? Maybe i can just improve ten % compared to the base lines. Or maybe you develop a model that has 95 % accuracy, but the human labelling ot whatever base line is already pretty high, is 90 nive%. At that time, maybe you need to think about, oh, is this really worth it to invest in muchin learning? I think knowing the base line and setting a goal comparing to the baseline is a way for us to, you know, set a milestone, create a mean
00:00
Transcript
Episode notes
Get the Snipd
podcast app
Unlock the knowledge in podcasts with the podcast player of the future.
AI-powered
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode
Save any
moment
Hear something you like? Tap your headphones to save it with AI-generated key takeaways
Share
& Export
Send highlights to Twitter, WhatsApp or export them to Notion, Readwise & more
AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
Discover
highlights
Listen to the best highlights from the podcasts you love and dive into the full episode