Media Summary: MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... How can we reverse engineer what a neural network is doing? In this IASEAI ' Zeta transform, Möbius inversion, streaming algorithms, necessity of randomization and approximation, distinct elements.
Lecture 25 Interpretability - Detailed Analysis & Overview
MIT 6.S897 Machine Learning for Healthcare, Spring 2019 Instructor: Peter Szolovits View the complete course: ... How can we reverse engineer what a neural network is doing? In this IASEAI ' Zeta transform, Möbius inversion, streaming algorithms, necessity of randomization and approximation, distinct elements. May 13, 2025 Large language models do many things, and it's not clear from black-box interactions how they do them. We will ... Intelligent Analysis of Biomedical Images Winter 2023 Lecture 25 This is a talk I gave to my MATS 9.0 training scholars about the big picture of mech interp - as of Oct 2025, what had changed?
This talk was recorded at NDC AI in Oslo, Norway. Attend the next NDC ... Visit our sponsor 80000 hours - grab their free career guide and check out their podcast! Use our ...
