machine learning

3 statements across 2 episodes · 0 bullish · 0 bearish · 2 people on the record · first statement Sep 7, 2023 by Kevin Mandich · across every show →

Everything said about machine learning, oldest first

Sep 7, 2023
Insight
Analyzing machine learning data in batch produces better results than real-time streaming
“From an ML point of view. I think it's advantageous to analyze as much data in batch as possible. You tend to get more information to work with.”
Kevin Mandich Sep 7, 2023 ▶ 12:45 A guide to building product in a post-LLM world | Ryan Glasgow and Kevin Mandich from Sprig
Sep 7, 2023
Insight
Machine learning engineering skills transfer broadly across vision, NLP, and audio domains
“One of the things about machine learning and AI in this industry is that there's a lot of crossover between these different data domains. You know, if you're able to solve a computer vision problem pretty well, a lot of those skills are transferable to natural…”
Kevin Mandich Sep 7, 2023 ▶ 6:27 A guide to building product in a post-LLM world | Ryan Glasgow and Kevin Mandich from Sprig
Mar 26, 2026
Insight
Kreps: Half the challenge in ML products is data infrastructure, not models
“Half the problem in any of these products is actually not the machine learning stuff. It's actually just the data, like Getting, getting it, being able to work with it at scale, being able to apply it, being able to do that in the context of like a real runnin…”
Jay Kreps Mar 26, 2026 ▶ 11:11 How to build a company when you’re not an optimist | Jay Kreps (Co-founder and CEO, Confluent)
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