Blog

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  1. What We Don't Talk About When We Talk About Data

  2. Goodhart's Law & Data Science

  3. Reading Notes: Against the Grain

  4. Reading Notes: Thinking with Data

  5. Highlights from TensorFlow Dev Summit 2020

  6. Making Your First Open Source Contribution, Part 3: Navigating New Codebases

  7. Making Your First Open Source Contribution, Part 2: Useful Things to Do Before You Start Contributing

  8. Making Your First Open Source Contribution, Part 1: Finding Projects, Issues, & Mentored Programs

  9. 2019

  10. Mengapa Menjadi Pembicara di Konferensi Teknologi?

  11. Notes from PyCon APAC 2019

  12. Moderating Conference Sessions

  13. 2018

  14. Notes on NL2Bash

  15. Me, trying to understand the GIL

  16. Notes on "A Neural Algorithm of Artistic Style"

  17. Squashing Commits in Mercurial

  18. Reading Notes: Tiny Beautiful Things: Advice on Love and Life from Dear Sugar

  19. Reading Notes: Ready Player One

  20. Post-College Thoughts

  21. The Case for Lowering the Language Barrier in Tech

  22. Reading Notes: Turtles All the Way Down

  23. Reading Notes: Little Fires Everywhere

  24. 2017

  25. On Learning and Doing the Hard Stuff

  26. On Uncertainty

  27. On Investing

  28. Positive and Negative Feature Contributions of Random Forest with TreeInterpreter

  29. Singapore (Alternative Version, Kinda)

  30. First Principles

  31. Meetings

  32. Things Learned

  33. Tanimoto Score

  34. Similarity Scores

  35. On Vision

  36. Making Decisions is Real Scary