Any advatage using the ML programming language?

AI Thread Summary
Machine Learning (ML) programming is increasingly popular for its ability to handle complex data analysis and predictive modeling tasks. Unlike imperative languages like C and C++, which execute instructions and can produce different results based on program state, ML is a functional language that evaluates expressions. This means that in ML, functions are treated as mathematical entities that typically return consistent results for the same inputs, minimizing side effects and making program behavior easier to reason about. The functional nature of ML allows for clearer logic and potentially fewer bugs, which is advantageous in developing robust machine learning applications.
chrisalviola
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been learning ML programming, just fun to learn new things, what this ML programming used for anyways? how is this better that C or C++?
 
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C and C++ are known as imperative languages while ML is a functional language.

You can say that a C program "executes instructions" while an ML program "evaluates expressions".

Functional languages tend to treat programs as mathematical functions that don't have mutable data or state. This is to avoid functions having "side effects".

So in C, you can call a function twice with the same input data and get back two different results depending on the current state of the program. In ML a function always returns the same result for a given input regardless of the context. (Well, not *always* as ML is not a purely functional language, but usually).

This is said to make reasoning about the programs behavior easier.
 

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