I saw this in DataScienceWeekly… and loved the title. I clicked and laugh when I saw it was your post. I love your writing, and also can’t wait to read the book.
Is there a measure that defines the reliance/sensitivity of the model class on randomness and inductive bias? If so, what is the application of this measure?
Can't wait to read the book
You already can read the web version: https://ml-science-book.com/
I saw this in DataScienceWeekly… and loved the title. I clicked and laugh when I saw it was your post. I love your writing, and also can’t wait to read the book.
I think you’ll appreciate this post on LinkedIn I wrote about randomness. https://www.linkedin.com/posts/frankxc_nassim-taleb-why-you-should-embrace-uncertainty-activity-7225111850563112961-xFrF?utm_source=share&utm_medium=member_ios
Thanks for sharing, I love the connection to Antifragile. I enjoyed reading this book.
You might also like the N=2 version of the optimal stopping problem: https://x.com/vsbuffalo/status/1840543256712818822
The Probabilistic Method is an interesting chapter of mathematics.Lots of free lectures and books.
Is there a measure that defines the reliance/sensitivity of the model class on randomness and inductive bias? If so, what is the application of this measure?