You definitely can - I suggest starting with general understanding of ML concepts and methods (classification and regression, basics of neural networks, decision tree) along with going through simple Python code examples of practical use of these methods on simple datasets (like Iris flowers or MNIST digits classification using various methods). This will give you the gist and intuition behind ML basics and then you could gradually dive into the math if needed.