Machine learning (ML), the sub-set of AI, is a part of computer science which enables computers to have the ability to learn without being explicitly programmed. This process of leaning involves from the study of pattern recognition and computational learning theory. In addition, these algorithms can learn from and make predictions on data. These models obtained enable researchers, data scientists, engineers, and analysts to get reliable, repeatable decisions. Furthermore, the results analysis and discover hidden intuitions, through learning from historical relationships and trends in the data. ML models have been demonstrated the capacity of decision-making by clinicians in neurosurgical propose. In this mini-review, AI/ML approaches to data pre-processing, modeling and representative applications in neuroscience-related-topic will be introduced.