Frank Nielsen (@FrnkNlsn) / X

Frank Nielsen

7,779 posts

Frank Nielsen

@FrnkNlsn

Information Geometry, Information Theory, Geometric Science of Information GSI, machine learning, AI, visual computing, HPC, pyBregMan @SonyCSL

Tokyo 東京

franknielsen.github.io/index.html

Joined February 2010

Pinned
Frank Nielsen
@FrnkNlsn
Dec 30, 2023
New Followers, a tutorial with no prerequisite in differential geometry needed! "An Elementary Introduction to Information Geometry" 👉 tinyurl.com/ElementaryIG/ Video: 👉youtube.com/watch?v=w6r_js… See also "The Many Faces of Information Geometry" PDF 👉ams.org/journals/notic…
83K
Frank Nielsen
@FrnkNlsn
Oct 4, 2022
"Mathematics for machine learning" (CUP, 2020). Free PDF from mml-book.github.io 😊 A must-read masterpiece, nicely structured and richly color-illustrated!
Frank Nielsen
@FrnkNlsn
Jun 22, 2024
📚Selection!
271K
Frank Nielsen
@FrnkNlsn
Nov 8, 2024
Very refreshing reading, free online 1/2
320K
Frank Nielsen
@FrnkNlsn
Feb 7, 2025
Stack!
141K
Frank Nielsen
@FrnkNlsn
Jun 10, 2023
🎉🎉🎉 "Mathematics for machine learning" (CUP, 2020). Free PDF from mml-book.github.io 😊 A must-read masterpiece, nicely structured and richly color-illustrated!
224K
Frank Nielsen
@FrnkNlsn
Aug 14, 2022
A brief history of distances (precambrian machine learning time!). PDF and distance portal: franknielsen.github.io/Divergence/ind…
Frank Nielsen
@FrnkNlsn
Jun 20, 2024
📚!
160K
Frank Nielsen
@FrnkNlsn
Jul 24, 2024
📚!
123K
Frank Nielsen
@FrnkNlsn
Jun 26, 2024
Another 📚selection!
112K
Frank Nielsen
@FrnkNlsn
Sep 7, 2025
"A Course in Game Theory" (2020) by Thomas S Ferguson
91K
Frank Nielsen
@FrnkNlsn
Aug 30, 2025
An excellent *concise* book to get an introduction to *topological data analysis* (TDA) with homology and Morse theory
71K
Frank Nielsen
@FrnkNlsn
Oct 4, 2022
A very unique textbook "Information theory, inference and learning algorithms" by Sir MacKay combining Information Theory with Machine Learning. Nicely written! Book PDF freely available at: inference.org.uk/itila/book.html
Frank Nielsen
@FrnkNlsn
Nov 6, 2025
Voronoi diagram (black points) computed by projecting vertically lower envelope of n 3D graphs of functions {(x,y_i(x))} with y_i(x)=D(x_i,x) (pink). When distance D(x,x')=‖x-x'‖^2, graphs of y_i are paraboloids and Voronoi cell borders are linear
Frank Nielsen
00:00
Frank Nielsen
99K