I have completed my PhD few months back. I am about to start my postdoc at my PhD lab soon. I will be working on a different project than my PhD.
My PhD was in computational materials science. I used open-source finite element software to carry out my research. I had to write Matlab scripts for developing 3D geometries (used a bit of computational geometry: voronoi and a bit of topology optimization) and python scripts for postprocessing of the simulation results. The codes I wrote were quite basic.
Now, for the postdoc position, I have to implement machine learning algorithms in my research. I have 6 months before I need to provide tangible results. I need to learn and be proficient in python modules.
How to go ahead with learning the language proficiently and also learn the fundamentals of machine learning in 6 months. Is it possible to do so? Or I am tackling an impossible task? Any guidance with the course material?