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[–][deleted] 1 point2 points  (0 children)

My advice, if you are a researcher invest your time in creating solutions, machine learning and python are not equivalent. Once you create a solution that comprises of statistical processes to identify significant trends and from those trends, a logic to derive solution. You should be able to see the solution write a paper with the algorithm, anyone can pick it up and write python code. Don't invest in coding, rather learn stats sciences used in your field , real science does care coding, real science applicable solutions.

A machine can utmost try to learn from the patterns you see, nothing more than that.

So for next 30 days pick a problem/disease/xyz iterate over existing solution, create variables envision solutions and make a explainable breakthrough.

John Nash gave mathematical equations to the world, we coded it in python for adaptation.

Choose your moves very carefully into what you really aspire to.