This chapter synthesizes the core contributions of the book into two principal themes: (1) computational intelligence (CI)-driven methodologies for feature selection and (2) their practical applications in diverse real-world scenarios. Additionally, it delineates potential avenues for future research at the intersection of CI and machine learning, emphasizing opportunities to expand their synergistic impact across broader domains.