Chapter
Theoretical Computer Science and Real World Data
1:40:29 - 1:46:12 (05:43)
In this podcast, the guest discusses theoretical computer science and its relationship with analyzing real-world data. They also explore the most compelling open problems and potential breakthroughs in the field.
Clips
The machine learning community aims to find datasets from the real world to showcase algorithms' abilities.
1:40:29 - 1:42:38 (02:09)
Machine Learning
Summary
The machine learning community aims to find datasets from the real world to showcase algorithms' abilities. However, defining the type of graphs to study is often a challenging task, making it crucial to select representative and impactful real-world instances to demonstrate algorithm effectiveness.
ChapterTheoretical Computer Science and Real World Data
Episode#111 – Richard Karp: Algorithms and Computational Complexity
PodcastLex Fridman Podcast
This podcast episode discusses the relationship between theoretical computer science and real world datasets, including the potential for using large datasets for analysis and the most compelling open problems in the field.
1:42:38 - 1:46:12 (03:33)
Theoretical Computer Science
Summary
This podcast episode discusses the relationship between theoretical computer science and real world datasets, including the potential for using large datasets for analysis and the most compelling open problems in the field.