Artificial Intelligence

Two definitions that we see multiple times while doing classification are precision and recall. Let us say we have a image recognition classification algorithm that wants to classify if an image is a hot-dog or not a hot-dog. We have 70 images where 50 are hot-dogs and 20 are not hot-dogs. After we run our […]


Let us say we have a group a houses and want to group in 2 groups. Houses that are over-valued in value and houses that are under-valued and buy the under-valued houses. f([X1, X2, X3, X4]) = Y [1|0] So f(x) will output a number between 0,1. Then we can create a threshold to either […]


Let us say that have X1, X2, X3 characteristics. X1, X2, X3 if we want to predict the value of a house could be X1 = age of the house, X2 = location, X3 = amenities e.t.c Now we want to find f which is our model where f(X1, X2, X3) will produce the value […]


For the last couple of years I’ve been focusing mostly on front-end development. Machine learning, AI, data science and other buzz words I’ve been hearing have become louder and louder. This series are notes that I keep while trying to dive in this new world. Before we get started let us first separate what Artificial […]


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