AI-powered
podcast player
Listen to all your favourite podcasts with AI-powered features
16min chapter
613: Causal Machine Learning
Super Data Science: ML & AI Podcast with Jon Krohn
Applying Causal Methods in Machine Learning and Hiring Practices at Microsoft Research
The chapter explores the utilization of causal methods for invariance discovery in deep learning models, focusing on identifying consistent patterns with causal graphs. The discussion extends to the benefits and limitations of using the Copilot programming tool for code generation based on natural language inputs. Additionally, the chapter delves into the hiring process at Microsoft Research, emphasizing the criteria for researcher roles and the significance of impactful research in collaboration with academia.
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