Chapter
The Process of Learning and Human Intelligence
09:25 - 14:42 (05:16)
This podcast discusses how mathematically modeling the process of learning in the human brain is similar to machine learning and how the teaching process is not irrelevant.
Clips
The complexity of machine learning can be broken down to simple mathematical equations even without human imagination, as features like deep learning aren't relevant to the problem.
09:25 - 11:43 (02:17)
Summary
The complexity of machine learning can be broken down to simple mathematical equations even without human imagination, as features like deep learning aren't relevant to the problem.
ChapterThe Process of Learning and Human Intelligence
EpisodeVladimir Vapnik: Statistical Learning
PodcastLex Fridman Podcast
The presence of a great teacher can provide more wisdom in one day than diligent studies for 1000 days.
11:43 - 13:27 (01:44)
Summary
The presence of a great teacher can provide more wisdom in one day than diligent studies for 1000 days. A great teacher has the ability to introduce invariance and predicates for creating invariance, resulting in an increased capacity for learning and decreased number of observations.
ChapterThe Process of Learning and Human Intelligence
EpisodeVladimir Vapnik: Statistical Learning
PodcastLex Fridman Podcast
This podcast episode delves into the nature of information exchange in music and how machine learning can help better understand it.
13:27 - 14:42 (01:14)
Summary
This podcast episode delves into the nature of information exchange in music and how machine learning can help better understand it. The guest explains the difference between strong and weak convergence mechanisms in learning and how predicate can be used in weak convergence to improve playing.