Making Everything Discrete: A Biological Evolution Analog
7
Machine Learning in Discrete Rule Arrays
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Multiway Mutation Graphs
9
Optimizing the Learning Process
10
What Can Be Learned?
11
Other Kinds of Models and Setups
12
So in the End, What's Really Going On in Machine Learning?
13
Historical & Personal Notes
14
Q&A
15
End stream
Description:
Explore the intricacies of machine learning in this comprehensive 2-hour 23-minute video featuring Stephen Wolfram reading and discussing his recent blog post. Delve into topics such as the mystery of machine learning, traditional neural nets, mesh neural nets, discrete rule arrays, multiway mutation graphs, and the optimization of learning processes. Gain insights into what can be learned through machine learning, examine various models and setups, and contemplate the fundamental nature of machine learning. Benefit from historical and personal notes shared by Wolfram, followed by an engaging Q&A session. Follow along with the provided blog post link for a deeper understanding of the concepts discussed.
What's Really Going On in Machine Learning? Some Minimal Models - Stephen Wolfram Reading