Learning from Machine Learning

Vincent Warmerdam: Calmcode, Explosion, Data Science | Learning From Machine Learning #2

Jan 31, 2023

Vincent Warmerdam, creator of calmcode and machine learning engineer at SpaCy, discusses his career path and the role of luck and privilege. They talk about different job titles and the creation of Com Code, a free platform for data science education. Vincent's open-source projects and the importance of Python packages are highlighted. They discuss reframing problems, combining ML models with heuristics, and finding inspiration in unexpected places.

01:08:32

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Episode guests

Vincent Warmerdam

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Episode notes

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Quick takeaways

Building a recognizable presence and contributing to open-source projects can lead to job opportunities in the data science field.

Considering constraints and diverse perspectives is crucial when approaching data science problems.

Creating practical open-source tools and understanding the underlying problems are essential in machine learning.

Deep dives

Career journey and recognition

Vincent Warmerdam, a machine learning engineer at Explosion, discussed his career journey and how he got recognition in the data science community. He started by blogging and helping organize meetups, which led to people recognizing him as an authority figure in the field. Most of his job offers came from CEOs and CTOs who were familiar with his work and expertise through his blog. Vincent emphasized the importance of having a recognizable presence in the industry and the value of contributing to open source projects.

Introduction

4min

Roles and Titles at Different Companies

7min

Creating Com Code: A Free Platform for High-Quality Data Science Education

7min

Vincent Warmerdam's Open Source Journey

3min

Creating and Using Python Packages

7min

Reframing Problems for Optimal Solutions

22min

Combining Machine Learning Models with Heuristics

18min

Learning from Machine Learning, a podcast that explores more than just algorithms and data: Life lessons from the experts. This episode we welcome Vincent Warmerdam, creator of calmcode, and machine learning engineer at SpaCy to discuss Data Science, models and much more. @learningfrommachinelearning

Resources to learn more about Vincent Warmerdam:

https://calmcode.io/

https://youtu.be/kYMfE9u-lMo

https://youtu.be/S7vhi6RjBZA

https://github.com/koaning

References from the Episode:

You Look Like a Thing and I Love You: How Artificial Intelligence Works and Why It's Making the World a Weirder Place https://amzn.to/3Jt1qjX

The Future of Operational Research is Past https://ackoffcenter.blogs.com/files/the-future-of-operational-research-is-past.pdf

Supervised Learning is great - it's data collection that's broken https://explosion.ai/blog/supervised-learning-data-collection

Deon - An ethics checklist for data scientists https://deon.drivendata.org/

Hadley Wickham - https://hadley.nz/

Katharine Jarmul - https://www.linkedin.com/in/katharinejarmul/?originalSubdomain=de