🔥 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.  

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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

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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 

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