Note: I’m not the expert in the machine learning area, so this is not a serious tutorial for the machine learning techniques. If you want to learn more about it, I highly recommend you to view some other video on youtube or coursera. e.g., Andrew ng’s tutorial series or 3Blue1Brown’s video if you want to have an overview of this area, or coding train, if you want to have fun with it :p
links are provided below.
According to the tutorials that introduced by the coding train, this time I’m trying to make a simple machine learning recipe (or you can call it algorithms) trying to predict some value based on the given input (in this stage, it still cannot called “learning”, but it is kind of the sprout of machine learning).
The scenario is simple; we want to predict the output based on some random data sets ( this means there’s no strong relationship between those data).
e.g. an simple ice cream sold relationships vs tempeture
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