Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0" - Machine Learning Engineered

Episode 16

Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0"

Luigi is the director of data science at 2U, where he leads a team in developing ML models and infrastructure to predict student success outcomes. He's also the founder of ML in Production, a blog and newsletter that helps readers build, deploy, and run ML systems.

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02:45 Luigi Patruno

04:50 How can ML teams be more rigorous in their engineering practices?

10:25 Best practices for monitoring and logging ML systems

18:00 Adding business value with data science

37:10 Most valuable types of tools for ML in production

43:15 What an ideal data pipeline setup looks like

47:50 Unbundling the "Data Scientist" role

50:35 The future of building software: "Code 2.0"

59:45 Most valuable skills for the future

01:10:15 Learnings from writing his blog "ML in Production"

01:15:00 Rapid fire questions


Luigi's interview on Datacast

Ultimate Guide to Deploying ML Models

Maximizing Business Impact with Machine Learning

Two Types of Companies Using ML

The AI Hierarchy of Needs

Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production

Machine Learning is Forcing Software Development to Evolve

ML Street Talk #29: GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence

Building Machine Learning Powered Applications

How to Change Your Mind

The War of Art


About the Podcast

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Machine Learning Engineered
Helping you bring ML out of the lab and into products that people love.

About your host

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Charlie You

Charlie currently works as a Machine Learning Engineer at Workday. He graduated from RPI with a B.S. in Computer Science and taught himself ML through online courses and projects. In his free time, Charlie enjoys investing and trading, playing poker, and training Brazilian Jiu-Jitsu.