Hello, I started this specialization and I wanted to ask how will advanced math be used in machine learning? Aside from the libraries that takeaway the math from the code, will I spend a lot of time doing math if I become a machine learning engineer?
If you want to create new algorithms, you’ll need to do some math.
If you want to use exisiting algorithms and apply them to specific problems, that’s a lot less math.
Most of the math is just manipulating and reshaping data.
In any introduction course, you’re going to learn the fundamentals from scratch.
Hi @kaki178925 ,one important thing to keep in mind is that discovering patterns in data is actually modeling real world data. The model will then be used to make predictions (considering that what was discovered in the data history is a good basis for predicting future patterns). Modeling, in all cases is Mathematics or Statistics. So, yes, Math is omnipresent because we have to make a mathematical representation of the real world.