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Machine Learning With Google

Understanding machine learning models

Improving data analysis and decision-making

How Google uses logic in machine learning

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Machine Learning With Google

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First of all, we need to understand the usage of both variables and constants. Variables are used to store values which can be changed in run time whereas constant cannot be changed.

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Values stored in memory can't be accessed without knowing the address. Since we can't remember addresses, we need some kind of label which points to that address. Something like a contact number saved in the phone. We can’t remember phone numbers, but we can remember names.

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So, both "Variable" and "Constant" come under a concept called "Identifiers". As the name suggests, identifiers help us to identify a value which is stored in the memory with the help of a name. It's like a box which contains some values/information with a label attached.

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Also Also identifiers can be function names, type names, class names, labels, etc.,can be function names, type names, class names, labels, etc.,

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But some of the websites/people explain these two in the wrong way. Mostly the definition for constant would be "A constant is a variable that can't be changed in the program".

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It totally makes no sense. This statement states that a CONSTANT is a VARIABLE but it's value can't be changed. If CONSTANT is a VARIABLE then the value can be changed. A total collapse in the meaning.

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Say if you wanna store a number "42" in your program/code, you can assign it to an identifier. So that you can use it later in your program.

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If a value stored in an identifier which can be changed in the run time, it is called a "Variable". If it cannot be changed it is called a "Constant".

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Variables vs Constants

Variables and Constants are mostly misunderstood in programming. Most of the time, most of the people read bad definitions on Constants. A thread on this.

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