<p>In today&#39;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!</p><p><br></p><h1>Sponsors</h1><ul><li><a href="https://topenddevs.com/resume" rel="nofollow">Chuck&#39;s Resume Template</a></li><li><a href="https://topenddevs.com/book-club" rel="nofollow">Developer Book Club starting</a></li><li><a href="https://topenddevs.com/sign_up" rel="nofollow">Become a Top 1% Dev with a Top End Devs Membership</a></li></ul><br/><br/>Advertising Inquiries: <a href='https://redcircle.com/brands'>https://redcircle.com/brands</a><br/><br/>Privacy & Opt-Out: <a href='https://redcircle.com/privacy'>https://redcircle.com/privacy</a>

Data Watchdogs - ML 133

Machine Learning is growing in leaps and bounds both in capability and adoption. Listen to our experts discuss the ideas and fundamentals needed to succeed as a Machine Learning Engineer.Become a supporter of this podcast: https://www.spreaker.com/podcast/adventures-in-machine-learning--6102041/support.