"Before feeding data into a machine-learning model, it is "vectorized" -- converted into numbers representing a point or point sequence in the vector space. The vectors in machine learning signify input data, including bias and weight."--
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"Before feeding data into a machine-learning model, it is "vectorized" -- converted into numbers representing a point or point sequence in the vector space. The vectors in machine learning signify input data, including bias and weight."--
Read Less
Add this copy of Vectorization: a Practical Guide to Efficient to cart. $188.82, good condition, Sold by Bonita rated 4.0 out of 5 stars, ships from Newport Coast, CA, UNITED STATES, published 2024 by Wiley-IEEE Press.
