Antennas are critical part of any wireless system for maximizing efficiency and data rates. Machine learning is a method of data analysis that automates analytical model building. Antennas are becoming more and more complex each day with increase in demand for their use in variety of devices (smart phones, autonomous driving to mention a couple); antenna designers can take advantage of machine learning to generate trained models for their physical antenna designs and perform fast and intelligent optimization on these trained models. Using the trained models, different optimization algorithms and goals can be run quickly, in seconds, for comparison of different designs. This talk presents the process of fast and intelligent optimization by Design Exploration and machine learning. Examples to showcase the advantages of using machine learning for antenna design and optimization will be presented.