Learning to rank is good for your ML career - Part 2: let’s implement ListNet!
The second post in an epic to learn to rank lists of things!
The second post in an epic to learn to rank lists of things!
The first post in an epic to learn to rank lists of things!
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(TL;DR: matrices are rectangular arrays of numbers.)
(TL;DR: Start with two vectors with equal numbers of elements. Multiply them element-wise. Sum the results. This is the dot product.)
(TL;DR: You can add vectors that have similar dimensions.)
(TL;DR: Multiply a vector by a scalar one element at a time.)
(TL;DR: Vectors are ordered lists of numbers.)
(TL;DR: Scalars are single numbers.)
(TL;DR: I’m going to go deep into deep learning. Sets are collections of things.)