Published Mar 2, 2020
NLP for Mapping Physics Research with Matteo Chinazzi - #353
Explore the intersection of machine learning and physics research with Matteo Chinazzi, as he highlights innovative mapping techniques using word embeddings and network visualization to predict future research trends and economic outcomes, providing strategic insights into the knowledge economy.
Topics covered
Popular Clips
Episode Highlights
Related Episodes
Geospatial Machine Learning with Kumar Chellapilla - 607
Answers 383 questions
From Particle Physics to Audio AI with Scott Stephenson - #19
Answers 383 questions
Statistics vs Semantics for Natural Language Processing with Francisco Webber - #10
Answers 383 questions
The Physics of Data with Alpha Lee - #377
Answers 383 questions
Identifying New Materials with NLP with Anubhav Jain - TWIML Talk #291
Answers 383 questions
Machine Learning for Earthquake Seismology with Karianne Bergen - #554
Answers 383 questions
Geometric Deep Learning with Joan Bruna & Michael Bronstein - #90
Answers 383 questions
Knowledge Graphs and Expert Augmentation with Marisa Boston - TWiML Talk #204
Answers 383 questions
Taming arXiv with Natural Language Processing with John Bohannon - #136
Answers 383 questions
Engineering Practical Machine Learning Systems with Xavier Amatriain - #3
Answers 383 questions
Semantic Segmentation of 3D Point Clouds with Lyne Tchapmi - #123
Answers 383 questions
