Abstract : The modern study of the isometric embedding problem for Riemannian manifolds is founded on Nash's pioneering work in 1954 and 1956. In the past ten years, there has been a renewal of interest in these theorems in light of unexpected applications and connections to turbulence and machine learning. These connections have motivated us to revisit these theorems from probabilistic foundations.