Hello all fellow researchers,
I have some problem in understanding the basic concepts of Matrices. I hope someone of you could help me in clearing my doubts.
A full rank matrix means all columns/rows are linearly independent to each other which drives the understanding of changing one column has no effect on the rest of the columns or being affected by other columns. I hope my concept till this point is right??
If the above understanding is right then can I say a full rank matrix means the columns are highly not co-related?
The reason for asking this question is to choose linearly independent and less inter co-related features for a traditional ML algo.
I hope someone can answer my query.
Thanks in advance
Udaysimha Nerella
Freshmen Data Scientist
#MachineLearning #Mathematics #AI #Matrices