Uploaded April 2021 | Updated September 2026, 7 hours ago
I talk a little bit about why I think you don't need math for Machine Learning. There are certainly some cases where math is very important for machine learning, especially in theory, but when you talk about ML on the whole, you can often get great use out of the field and AI without knowing a whole lot of math. The math can be helpful, but it is not always essential for learning and implementing machine learning.
Some examples that do use math are understanding gradient descent, many sampling algorithms, performing calculations or implementing algorithms like naive bayes, SVMs, or even simply linear regression.
I talk a little bit about why I think you don't need math for Machine Learning. There are certainly some cases where math is very important for machine learning, especially in theory, but when you talk about ML on the whole, you can often get great use out of the field and AI without knowing a whole lot of math. The math can be helpful, but it is not always essential for learning and implementing machine learning.
Some examples that do use math are understanding gradient descent, many sampling algorithms, performing calculations or implementing algorithms like naive bayes, SVMs, or even simply linear regression.
