🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner from The MLOps Podcast

🔥 Getting Data Scientists to Write Better Code with Laszlo Sragner

1 hour 5 minutes Posted Feb 14, 2022 at 2:00 pm.

Podcast intro 

Guest introduction 

Why is writing better code important for data scientists?  

How to improve your code 

Don't be afraid of your code. 

Breaking experiments into manageable pieces 

How did your past experiences teach you to strive for better code? 

Proving better code is worth it 

What could be adopted from software development 

What's the most interesting/challenging part of taking models to production? 

What is the hardest part about building a machine learning model? 

How it looks when it works well – a detailed example 

The difference in writing better code in smaller startups compared to larger organizations 

Laszlo's process for the first iteration in a machine learning project 

Breaking data problems down into vertical slices 

End-To-End Platforms vs. Best-of-breed tools 

Obligatory job title discussion... 

Hunting for data science unicorns 

Traits to look for when building a data science team 

Build vs. Buy? What's better? 

What is the most exciting trend in ML and MLOps? 

How do you stay up to date? 

Recommendations for the audience

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Show notes

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

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Timestamps:

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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

🌐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

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