I work at the intersection of machine learning & product to build pragmatic, customer-facing ML systems. Currently an Applied Scientist at Amazon. Outside of work, I also...
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18 Apr 2021 Ā· My Impostor Syndrome Stories (Guest Post by Susan Shu)
28 Mar 2021 Ā· Bukalapak - Fireside Chat with the Data Science team
09 Aug 2020 Ā· Unpopular Opinion - Data Scientists Should be More End-to-End
05 Apr 2020 Ā· Stop Taking Regular Notes; Use a Zettelkasten Instead
27 Feb 2020 Ā· My Journey from Psych Grad to Leading Data Science at Lazada
26 Jan 2019 Ā· Data Science and Agile (What Works, and What Doesn't)
28 Feb 2021 Ā· How to Write Better with The Why, What, How Framework
22 Nov 2020 Ā· What Machine Learning Can Teach Us About Life - 7 Lessons
09 Jul 2020 Ā· The 85% Rule - When Giving It Your 100% Gets You Less than 85%
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email-course: How to be
effective at data science & machine learning
applied-ml:
Papers on real-world machine learning (8,600+ āļø)
ml-surveys:
Papers summarizing machine learning advances (1,100+ ā)
ml-design-docs:
Template of design docs for machine learning systems
python-collab-template:
Template with tests, type checks, linting, etc.
papermill-mlflow:
Experimentation workflow for machine learning
omscs-faq:
Georgia Tech Online Master's of Science in Computer Science
teardowns:
Surveys & deep dives of data/machine learning systems