Redundancy & Autoregressive models

Q1) Redundancy

In video 6e, Hinton summarizes different methods that you can use depending on the size of your dataset and whether or not it is redundant.

When do you say that a dataset is redundant? Can you measure redundancy?

Q2) Autoregressive models

In video 7A, Hinton presents autoregressive models as (I think) a memoryless model.

What are the advantages of such models and in which situations should you use them?

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