This Special Issue will publish high-quality, original research papers advancing the state of the art in the application of machine learning and/or Bayesian optimization. Manuscripts should be submitted online and can be research articles, review articles, or short communications. Machine learning and Bayesian optimization have found wide-ranging applications in applied sciences, revolutionizing the way in which we make data-driven decisions and find optimal solutions to complex problems.
