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Pending issues:

P1: Probability theory.

This is just an incomplete draft. A first complete version is pending.

R3. Regression_LS

A student version including exercises is missed.

R5. Bayesian_Regression

The first part of the notebook needs some simple illustrative example accompanying the explanation of the general procedure to design Bayesian Regression algorithms. As it is, the explanations seem too much abstract and likely difficult to follow for the students. A simple 1-d example may help.

Some rewriting is also needed. In particular, sec. 2.1 must be reorganized. Sec. 2.1.1, about the prior distribution could be moved before the discussion about priors.

R6. GPs.

A student version including exercises is missed

LabR1

The data matrix including a column with ones is named ${\bf X}$. Maybe it should be named ${\bf Z} $, as in the notebooks