[PYTHON] Mathematics memorandum to keep up with the field # 1

Introduction

Currently, I am dispatched to a site that is a little more than machine learning, but I do not understand what the proper people are saying ....

That's why I think I'll put together the mathematics I studied as a memorandum. __ It's really appropriate and I can only understand it roughly, so I'd be happy if you could see it with a gentle eye. __

Mathematics used in machine learning

--Linear algebra (matrix) --Differentiation --Probability / Statistics

Is it?

I'm currently studying high school mathematics using books, so I'll output what I've learned ~

Set and probability

This time about the set. A set is the correct answer in mathematics, and is said to be "a clog of data that can be clearly distinguished and has the same properties." To be honest, I didn't really understand, but for example

Natural number= {1, 2, 3, 4, 5}

This is a set

Hot day of the year= {28℃, 30℃, 29℃, 32℃, 31℃}

This is not a set.

This is the difference __ From an infinite number, 1 to 5 can be taken out by anyone, but __ __ It is not a set (some people say that 27 ℃ is hot) that the judgment is ambiguous by people such as this year's hot day. __

In addition, the features of the set are as follows. --There are no duplicate elements. --The order does not matter

>>> A = {1, 2, 3, 4, 5}
>>> B = {5, 4, 3, 3, 2, 1}
>>> print(B)
{1, 2, 3, 4, 5}

>>> print(A == B)
True

#Duplicates are not counted(There are two 3s in the set of B, but they are counted as one)
#Even if the order of the sets of A and B is different, they are recognized as the same set.

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