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S27:E3 - Helping You Build Machine Learning Products (Pau Labarta Bajo)

Mar 27, 2024
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Pau Labarta Bajo
Pau Labarta Bajo, a Math turned ML expert, discusses transitioning from Excel to Python, importance of data in ML, essential skills for new devs. Talks about ML vs Stats, challenges in deploying models, leveraging domain knowledge in coding, freelancing as an ML engineer, and learning through failures in coding projects.
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1
Introduction
00:00 • 3min
2
Early Career as a Quantitative Risk Analyst in Banking
03:02 • 2min
3
Exploring the Intersection of Statistics and Machine Learning
05:14 • 13min
4
Leveraging Domain Knowledge in Coding Careers for Machine Learning Solutions
17:47 • 2min
5
Navigating Freelance Machine Learning Challenges
19:26 • 24min
6
Reflecting on Worst and Best Advice, First Coding Project, and Learning Through Failure
43:23 • 4min