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Machine Learning Engineered - Charlie You EPISODE 16, 8th December 2020
Luigi Patruno: ML in Production, Adding Business Value with Data Science, "Code 2.0"
00:00:00 01:22:53

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.

Learn more about Luigi:

https://mlinproduction.com/

https://twitter.com/mlinproduction

Every Thursday I send out the most useful things I’ve learned, curated specifically for the busy machine learning engineer. Sign up here: http://bitly.com/mle-newsletter


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Timestamps:

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


Links:

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

Sapiens