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And importantly, floats can't accurately represent base 10 numbers used for large quantities, like money. A 10e10 float is actually smaller than 10e10, for instance. Even 0.7 float is actually smaller than 0.7.
This means floats lead to weird numerical discrepancies that accumulate as you add more operations. Only use floats if you want to run large computation with approximate numbers -- scientific computing, basically.
I have to use floats in sales tax calculations sometimes. If you try calculating without it the number don't equal a 100%. It's so annoying. Happens with many finance calculations. But you are quite correct. Its a over used type but we programmers are lazy.
yeah, but you can check equality between floats by checking if the absolute value of their difference is less than epsilon( say £) where epsilon tends to 0.
Meanwhile, cryptocurrencies…
Do you know that Excel numbers are even less precise than float? And that it is used by many accountants and consultants etc.https://en.wikipedia.org/wiki/Numeric_precision_in_Microsoft_Excel …
Assuming the problem is ML, how much error is actually introduced by using float? It'd be good to have at least some examples of the errors that come from this.
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