Real Estate

Week 2: Vectors


DIBS: 3D weight matrices in modeling real estate prices

“Vector” can be pretty much just a fancy word for “list”. Specifically, an ordered list of numbers. [1]

For example, let’s say that you were doing some analytics about house prices, and the only features you cared about were square footage and price. You might model each house with a pair of numbers: the first indicating square footage, and the second indicating price. Since the length of this vector or list is two (a pair), this is two dimensional or 2D. [1]

2d vector house price
This is a very simplified way of knowing house prices in real estate. There are other factors such as amenities (parking, good view, bedrooms, etc.) or even floor level (level 1, level 2, level 3, etc.). An example would be “3D weight matrices in modeling real estate prices”.[2]

sources:
[1] 3Blue1Brown. Vectors, what even are they? URL: https://youtu.be/fNk_zzaMoSs (visited on May 20, 2017).

[2] (2017). Int-arch-photogramm-remote-sens-spatial-inf-sci.net. Retrieved 20 May 2017, from http://www.int-arch-photogramm-remote-sens-spatial-inf-sci.net/XLII-2-W2/123/2016/isprs-archives-XLII-2-W2-123-2016.pdf

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