Machine learning is emerging as a technology that can enhance physics experiment execution and data analysis. Here, we apply machine to accelerate the production of Bose-Einstein condensate (BEC) $^{87}\mathrm{Rb}$ atoms by Bayesian optimization up 55 control parameters. This approach enables us prepare BECs $2.8\ifmmode\times\else\texttimes\fi{}{10}^{3}$ optically trapped from room-temperature...