🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner

In this episode, we dive into the challenging but very important topic of getting data scientists to write better code. How to approach complex machine learning projects and break them down, and why growing unicorns 🦄 is better than hunting them. Check out this is an awesome conversation with Laszlo Sragner, Founder at 🔥 Hypergolic.   Join our Discord community: https://discord.gg/tEYvqxwhah ---  Timestamps:  00:00 Podcast intro  01:00 Guest introduction  02:34 Why is writing better code important for data scientists?   03:40 How to improve your code  08:17 Don't be afraid of your code.  10:42 Breaking experiments into manageable pieces  12:35 How did your past experiences teach you to strive for better code?  15:21 Proving better code is worth it  18:07 What could be adopted from software development  23:06 What's the most interesting/challenging part of taking models to production?  27:12 What is the hardest part about building a machine learning model?  29:30 How it looks when it works well – a detailed example  36:23 The difference in writing better code in smaller startups compared to larger organizations  39:18 Laszlo's process for the first iteration in a machine learning project  44:33 Breaking data problems down into vertical slices  47:55 End-To-End Platforms vs. Best-of-breed tools  50:30 Obligatory job title discussion...  53:30 Hunting for data science unicorns  56:33 Traits to look for when building a data science team  58:30 Build vs. Buy? What's better?  59:56 What is the most exciting trend in ML and MLOps?  1:00:47 How do you stay up to date?  1:01:40 Recommendations for the audience ---  Relevant Links:  ➡️Laszlo's awesome substack – https://laszlo.substack.com/ ➡️Laszlo's LinkedIn – https://www.linkedin.com/in/laszlosragner/ ➡️Laszlo's Twitter – https://twitter.com/xLaszlo  Recommendations: 👀Explore/Expand/Extract by Kent Beck: https://www.youtube.com/watch?v=FlJN6_4yI2A 👩‍💻Code Quality – Refactoring by Martin Fowler: https://martinfowler.com/books/refactoring.html 📐Geometric Deep Learning by Bronstein/Velickovic: https://www.youtube.com/watch?v=5h6MbQ_65-o   ✍️Online Writing by Nicolas Cole: https://www.youtube.com/watch?v=Od5J2V-Lmlg 📕The Last Shadow by Orson Scott Card: https://www.goodreads.com/en/book/show/7108926-the-last-shadow 🎬7 minutes, 26 seconds, and the Fundamental Theorem of Agile Software Development: https://www.youtube.com/watch?v=WSes_PexXcA  🌐Check Out Our Website! https://dagshub.com  Social Links: ➡️LinkedIn: https://www.linkedin.com/company/dagshub ➡️Twitter: https://twitter.com/TheRealDAGsHub ➡️Dean PlbnTwitter: https://twitter.com/DeanPlbn