Good morning @jstac , this PR corrects following typos in lecture exchangeable:
doesnt't know -->> doesn't know
paramter -->> parameter
likehood -->> likelihood
Notice how the length of the arrows, which show the magnitude of the force from Bayes' Law impelling :math:`\pi` to change, depend on both the prior probability :math:`\pi` on the ordinate axis and the evidence in the form of the current draw of :math:`w` on the coordinate axis. -->> Notice how the length of the arrows, which show the magnitude of the force from Bayes' Law impelling :math:`\pi` to change, depends on both the prior probability :math:`\pi` on the ordinate axis and the evidence in the form of the current draw of :math:`w` on the coordinate axis.
Good morning @jstac , this PR corrects following typos in lecture exchangeable:
doesnt't know
-->>doesn't know
paramter
-->>parameter
likehood
-->>likelihood
Notice how the length of the arrows, which show the magnitude of the force from Bayes' Law impelling :math:`\pi` to change, depend on both the prior probability :math:`\pi` on the ordinate axis and the evidence in the form of the current draw of :math:`w` on the coordinate axis.
-->>Notice how the length of the arrows, which show the magnitude of the force from Bayes' Law impelling :math:`\pi` to change, depends on both the prior probability :math:`\pi` on the ordinate axis and the evidence in the form of the current draw of :math:`w` on the coordinate axis.