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? Getting Data Scientists to Write Better Code with Laszlo Sragner

? Getting Data Scientists to Write Better Code with Laszlo Sragner

FromThe MLOps Podcast


? Getting Data Scientists to Write Better Code with Laszlo Sragner

FromThe MLOps Podcast

ratings:
Length:
65 minutes
Released:
Feb 14, 2022
Format:
Podcast episode

Description

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: 

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 

?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
Released:
Feb 14, 2022
Format:
Podcast episode

Titles in the series (26)

A podcast about bringing machine learning into the real world. Each episode features a conversation with top data science and machine learning practitioners, who'll share their thoughts, best practices, and tips for promoting machine learning to production