The speaker (Jason Dou) answers whether someone can learn AI without being strong in mathematics. He argues that yes—learners can focus on application areas (data analysis, NLP, machine learning), use ready-made tools and libraries, and gain skills through projects and courses while gradually improving math foundations. The core message is to persist with practice and incremental learning.
Many people ask me, can I learn AI if I am not good at math? Even if math is not your strong point, you can still learn AI. AI covers a wide range of technologies and applications, including programming, algorithm design, and program solving skills. In addition to mathematics, you can use ready made tools and libraries to help understand and apply mathematical concepts by focusing on application areas such as data analysis, natural language processing, or machine learning. In addition, participating in actual projects and courses can strengthen practical experience and gradually improve mathematical foundations. The important thing is to persist in learning and practice and gradually master the required skills and knowledge.
