Epsilon’s Machine Learning Notes
Aug. 31 2019
Prelogue
The inspiration of doing this notes is through the encouraging of a quote that I love most:
“But you go to a great school, not for knowledge so much as for arts and habits; for the habit of attention, for the art of expression, […] for the art of entering quickly into another person’s thoughts, […] for taste, for discrimination, for mental courage and mental soberness.” — William Johnson Corg.
Knowledge is for distilling, critisizing and sharing. That is the taste of this notes. Specifically, I am also inspired by several researchers and their works in this field of machine learning:
- Zachary C. Lipton and Jacob Steinhardt’s Troubling Trends in Machine Learning Scholarship, based on which I try to distinguish the real inspiring and will-be-test-of-time works.
- Ferenc Huszár’s blog inFERENCe, the style of simplicity and thought-provoking.
- Notes by Karl Stratos, succint and in-depth reformulation.
- Francis Bach’s blog on statistics and optimization, real master piece!
- Cosma Rohilla Shalizi’s notebook, very Retro.