Buy AND Build for Production Machine Learning with Nir Bar-Lev - #488

Buy AND Build for Production Machine Learning...

Up next

The Evolution of Reasoning in Small Language Models with Yejin Choi - #761

Today, we're joined by Yejin Choi, professor and senior fellow at Stanford University in the Computer Science Department and the Institute for Human-Centered AI (HAI). In this conversation, we explore Yejin’s recent work on making small language models reason more effectively. We ...  Show more

Intelligent Robots in 2026: Are We There Yet? with Nikita Rudin - #760

Today, we're joined by Nikita Rudin, co-founder and CEO of Flexion Robotics to discuss the gap between current robotic capabilities and what’s required to deploy fully autonomous robots in the real world. Nikita explains how reinforcement learning and simulation have driven rapid ...  Show more

Recommended Episodes

2882: From Chess Grandmaster to ML Innovator: Tal Shaked's Journey
Tech Talks Daily

Are machines really capable of thinking like humans, or are we merely programming them to mimic our own patterns? Today on Tech Talks Daily, we delve into this intriguing question with Tal Shaked, an American chess grandmaster and Chief Machine Learning Officer at Moloco, a le ...

  Show more

Machine Learning In The Enterprise
Data Engineering Podcast

<div class="wp-block-jetpack-markdown"><h2>Summary</h2>

Machine learning is a class of technologies that promise to revolutionize business. Unfortunately, it can be difficult to identify and execute on ways that it can be used in large companies. Kevin Dewalt founded Prolego ...

  Show more

Bayesian Machine Learning with Ravin Kumar (Ep. 191)
Data Science at Home

This is one episode where passion for math, statistics and computers are merged. I have a very interesting conversation with Ravin,  data scientist at Google where he uses data to inform decisions.

He has previously worked at Sweetgreen, designing systems that would b ...

  Show more

Machine learning is physics (Ep. 211)
Data Science at Home

What if we borrowed from physics some theories that would interpret deep learning and machine learning in general? Here is a list of plausible ways to interpret our beloved ML models and understand why they works, or they don't. Enjoy the show!

Our Sponsors

No ...

  Show more