About this episode
In today's episode, we speak with Pierre Eliseeff, co-founder of Analyzr and causal inference expert. Expect to learn a 3-step blueprint for doing causal analysis, thinking critically about data, creating successful projects, and much more!
Sponsors
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
Sponsors
- Chuck's Resume Template
- Developer Book Club starting
- Become a Top 1% Dev with a Top End Devs Membership
Advertising Inquiries: https://redcircle.com/brands
Privacy & Opt-Out: https://redcircle.com/privacy
Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.
Get every episode summarized
Each time Adventures in Machine Learning publishes, we email you a written briefing from the transcript — the topics, who appeared, and any specific claims, with the ad reads skipped.
Email me new episodesFree for 3 shows. No card needed.
Hosts & guests
No transcript yet
This episode has not been transcribed. Request it and it moves to the front of the queue.
More episodes
More from Adventures in Machine Learning
Why Authenticity Beats Algorithms: The New Rules of Digital Marketing - ML 185
Adventures in Machine Learning
Apr 4, 202555:37pending
Integrating Business Needs and Technical Skills in Effective Model Serving Deplo...
Adventures in Machine Learning
Feb 13, 202551:26pending
Navigating Common Pitfalls in Data Science: Lessons from Pierpaolo Hipolito - ML...
Adventures in Machine Learning
Jan 24, 202555:08pending
Cows, Camels, and the Human Brain - ML 182
Adventures in Machine Learning
Jan 9, 202542:06pending