Learn from Michael Jordan (UC Berkeley), Andrew Gelman (Columbia), and Chiara Farranato (HBS) on "High Signal" Podcast!

Hey Data Pros,

Do you want to stay at the forefront of data science and machine learning?

If so, I’m excited to share a fantastic resource — High Signal, a podcast hosted by my friends Hugo Bowne-Anderson, Duncan Gilchrist, and Jeremy Hermann!

What to Expect:

In-depth Interviews: Join thoughtful conversations with leading minds in the industry such as Michael Jordan (UC Berkeley), Andrew Gelman (Columbia University), and Chiara Farronato (Harvard Business School) and that’s just the start! Upcoming episodes will feature: 🏆 Guido Imbens (Nobel Laureate), Hilary Mason, Emily Sands, Ramesh Johari, and many more. They share invaluable knowledge, experiences, and advice that can inspire and inform your work.

Educate and apply in your jobs: Each episode is packed with practical takeaways, ensuring you can apply what you learn directly to your role, whether you're a data scientist, engineer, or business leader.

Bridging the Gap: Discover how to enhance communication between technical and non-technical teams, which is essential for making your projects more effective and impactful.

Case Studies: Gain insights from real-world examples across various industries, highlighting how data science and machine learning tackle complex challenges.

Who It's For: Whether you're a Machine Learning Engineer, AI Engineer, data scientist, engineer, analyst, or a business leader looking to better engage with technical teams, High Signal has something valuable for you.

Stay Tuned: New episodes are released twice a month, so be sure to subscribe on Spotify or Apple Podcasts to stay updated!

Don’t miss out on this opportunity to enhance your knowledge and skills. Tune in to High Signal today!​

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Best,

Ravit Jain

Founder & Host of The Ravit Show