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://mlinproduction.com/) https://twitter.com/mlinproduction (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 (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: https://datacast.simplecast.com/episodes/luigi-patruno (Luigi's interview on Datacast) https://mlinproduction.com/deploying-machine-learning-models/ (Ultimate Guide to Deploying ML Models) https://mlinproduction.com/maximizing-business-impact-with-machine-learning/ (Maximizing Business Impact with Machine Learning) https://mlinproduction.com/newsletter-083/ (Two Types of Companies Using ML) https://hackernoon.com/the-ai-hierarchy-of-needs-18f111fcc007 (The AI Hierarchy of Needs) https://www.mlengineered.com/episode/josh-tobin (Josh Tobin: Research at OpenAI, Full Stack Deep Learning, ML in Production) https://mlinproduction.com/machine-learning-is-forcing-software-development-to-evolve/ (Machine Learning is Forcing Software Development to Evolve) https://www.youtube.com/watch?v=fTvB5xMNfTY (ML Street Talk #29: GPT-3, Prompt Engineering, Trading, AI Alignment, Intelligence) https://www.oreilly.com/library/view/building-machine-learning/9781492045106/ (Building Machine Learning Powered Applications) https://www.penguinrandomhouse.com/books/529343/how-to-change-your-mind-by-michael-pollan/ (How to Change Your Mind) https://stevenpressfield.com/books/the-war-of-art/ (The War of Art) https://www.ynharari.com/book/sapiens-2/ (Sapiens)