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About consciousness and C++
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amin...@gmail.com
Mar 24, 2017, 8:14:20 PM3/24/17
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Hello,
I have just said:
My way of doing also...
You will say that i am stupid, but i am not stupid..
Because if i say to you: 2 + 2 = 4
You can be completly conscious from where it comes from
and work with it, but you can also not be conscious of its details
and work with it, this is also my way of optimizing and being efficient,
even though i am not an expert, i can learn by avoiding to get into
details and be efficient, it's like doing modeling with mathematics,
it is like doing mathematical statistics, it's a practical way of doing
that is also efficient without getting into the details of mathematical theory.
This is how i am getting efficient.
I give you an example of what i am saying that looks like modeling with mathematics:
I have also understood linear regression and polynomial regression, and what i have found interesting is that to resolve the problem of linear regression or polynomial regression you have to fix some variables as constants to be able to resolve the system by partial derivatives that also simplify the resolution of the system, since it result in a system of linear equations that help us to obtain the unknown variables, so partial derivatives are a powerful tool that permit us to obtain the unknown variables of the linear regression or polynomial regression systems. But what we have to understand is that when you set the partial derivatives to zero, we obtain our system of linear equations that permit us to solve and find the unknown variables, and this explains how to solve linear regression
and polynomial regression, but we have to understood that the partial
derivatives have simplified solving the system by resulting in a quadratic equation that have the same global minimum, and that ensure that the linear system of equations does not result in contradictions
and are valid. So we have to notice that partial derivatives are a powerful tool that look like heuristics that permit us to solve the system faster and they simplify the system
Merci,
Amine Moulay Ramdane.
I have just said:
My way of doing also...
You will say that i am stupid, but i am not stupid..
Because if i say to you: 2 + 2 = 4
You can be completly conscious from where it comes from
and work with it, but you can also not be conscious of its details
and work with it, this is also my way of optimizing and being efficient,
even though i am not an expert, i can learn by avoiding to get into
details and be efficient, it's like doing modeling with mathematics,
it is like doing mathematical statistics, it's a practical way of doing
that is also efficient without getting into the details of mathematical theory.
This is how i am getting efficient.
I give you an example of what i am saying that looks like modeling with mathematics:
I have also understood linear regression and polynomial regression, and what i have found interesting is that to resolve the problem of linear regression or polynomial regression you have to fix some variables as constants to be able to resolve the system by partial derivatives that also simplify the resolution of the system, since it result in a system of linear equations that help us to obtain the unknown variables, so partial derivatives are a powerful tool that permit us to obtain the unknown variables of the linear regression or polynomial regression systems. But what we have to understand is that when you set the partial derivatives to zero, we obtain our system of linear equations that permit us to solve and find the unknown variables, and this explains how to solve linear regression
and polynomial regression, but we have to understood that the partial
derivatives have simplified solving the system by resulting in a quadratic equation that have the same global minimum, and that ensure that the linear system of equations does not result in contradictions
and are valid. So we have to notice that partial derivatives are a powerful tool that look like heuristics that permit us to solve the system faster and they simplify the system
Merci,
Amine Moulay Ramdane.
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