COMPSCI 61B Lecture 1: Lec1_1_19_16
26 Jan 2016
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[l3 , w3 , c3 ] example 1 example 2 example 3 (cid:170) (cid:171) (cid:171) (cid:172) l l l. 3 c c c (cid:186) (cid:187) (cid:187) (cid:188) Why linear algebra: for each example (e. g. a fish image), we extract a set, this set of features is represented as a feature vector. Basic linear algebra: basic concepts in linear algebra of features (e. g. length, width, color, vectors and matrices, products and norms, vector spaces and linear transformations, [length, width, color] What is a matrix: also, we will use linear models since they are simple, we use linear models: and computationally tractable, simple to create, computationally tractable, a matrix is a set of elements, organized into. What is a matrix: a set of elements, organized into rows and columns rows and columns rows columns. 6 (cid:186) (cid:187) (cid:187) (cid:187) (cid:188) example 1 example 2 example 3. 1 e r u t a e f. 2 e r u t a e f.
