I am an undergrad physics student. Nowadays, I observe a tendency among physicists to learn machine learning. Surely, it's highly useful to know ML when you have to deal with tons of data from experiments. There is a great review paper( Rev. Mod. Phys. 91, 045002 (2019)) about the many uses of ML in different subfields of physics.
I know that engineers use ML very often. What about the use of ML biology, geology, neuroscience, or other STEM fields? How often is ML used in those fields? I would like to know some personal experiences from people of different STEM fields.
Agreed with both dear Khurram Hameed and dear Mohammad Hamed Mozaffari
Machine learning is basically an advanced form of statistical tool with computers having parallel computation capability. So, that we can use the complex statistical tool in a timely manner for our analysis. Simply you should know which statistical tool you want to use for your analysis convert it to ML algorithm and use it.
A really short but complete answer is that Machine Learning is used in any application in STEM when we are looking for patterns. Pattern recognition is an important task in almost any Engineering problem. You can find many samples of recent ML applications in Medicine for the detection of diseases.
Agreed with both dear Khurram Hameed and dear Mohammad Hamed Mozaffari
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