$X$ represents sample in frequency domain and $x$ represents samples in time domain.
NOTATION 1
$X(k) = \sum\limits_{n = 0}^{N - 1} {x\left[ n \right]e^{ - j\frac{{2\pi }}{N}nk} } $$ X[k] = \sum\limits_{n=0}^{N-1} x[n] \ e^{-j \frac{2\pi}{N} n k} $
$ x\left[ n \right] = \frac{1}{N}\sum\limits_{k = 0}^{N - 1} {X\left[ k \right]e^{j\frac{{2\pi }}{N}nk} } $$ x[n] = \frac{1}{N} \sum\limits_{k=0}^{N-1} X[k] \ e^{j \frac{2\pi}{N} n k} $
NOTATION 2
$ X\left[ k \right] = \frac{1}{N}\sum\limits_{k = 0}^{N - 1} {x\left[ n \right]e^{ - j\frac{{2\pi }}{N}nk} } $$ X[k] = \frac{1}{N} \sum\limits_{n=0}^{N-1} x[n] \ e^{-j \frac{2\pi}{N} n k} $
$ x\left[ n \right] = \sum\limits_{k = 0}^{N - 1} {X\left[ k \right]e^{j\frac{{2\pi }}{N}nk} } $$ x[n] = \sum\limits_{k=0}^{N-1} X[k] \ e^{j \frac{2\pi}{N} n k} $
NOTATION 3
$ X\left[ k \right] = \frac{1}{{\sqrt N }}\sum\limits_{k = 0}^{N - 1} {x\left[ n \right]e^{ - j\frac{{2\pi }}{N}nk} } $$ X[k] = \frac{1}{\sqrt{N}} \sum\limits_{n=0}^{N-1} x[n] \ e^{-j \frac{2\pi}{N} n k} $
$ x\left[ n \right] = \frac{1}{{\sqrt N }}\sum\limits_{k = 0}^{N - 1} {X\left[ k \right]e^{j\frac{{2\pi }}{N}nk} } $$ x[n] = \frac{1}{\sqrt{N}} \sum\limits_{k=0}^{N-1} X[k] \ e^{j \frac{2\pi}{N} n k} $
NOTATION 4
$ X\left[ K \right] = \sum\limits_{n = 0}^{N - 1} {x\left[ n \right]e^{j\frac{{2\pi }}{N}nk} } $$ X[k] = \sum\limits_{n=0}^{N-1} x[n] \ e^{j \frac{2\pi}{N} n k} $
$ x\left[ n \right] = \frac{1}{N}\sum\limits_{n = 0}^{N - 1} {X\left[ K \right]e^{ - j\frac{{2\pi }}{N}nk} } $$ x[n] = \frac{1}{N}\sum\limits_{k=0}^{N-1} X[k] \ e^{-j \frac{2\pi}{N} n k} $
Please observe the scaling factor $\frac{1}{N}$ and change of a negative sign $-$ over the exponent term ${e^{\pm j\frac{{2\pi }}{N}nk} }$. Why is every notation of DFT valid?