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Day 4 of learning mathematics for AI/ML as a no math person. Topic: matrices After a few people suggesting me that I should study from the school books and practice questions in order to truly learn something. I finally decided to learn from school books and not simply binge watch YouTube videos learning from school level book gave me a more structured approach and I finally also able to do some questions once I understand the theory. I know it is frustrating that I am only focusing on theory part rather than jumping straight to solving the problems however I personally believe that I should know what I am trying to do? and why I am trying to do? and only then I can come to how I can do? For this reason I think theory is also important (I am looking forward to solve exercise 3.1 of my book when I am done with theory). coming back to today's topic i.e. matrices I understand what are the different types of matrices. There are total seven types of matrices namely: 1. Column matrix: which contain only one column but different rows. 2. Row matrix: which contain only one row but different columns. 3. Square matrix: which contains equal number of rows and columns. 4. Diagonal matrix: which contains elements diagonally with other elements as zero. 5. Scalar matrix: which contains elements diagonally (just like in diagonal matrix) however the elements here are same. 6. Identity matrix: this is also same as diagonal matrix however here the elements are always one and that too in diagonal. 7. Zero matrix: which contains only zeros as its elements. Then I learned about equal matrix, two matrices are considered equal when their elements matches the correspondent element of other matrix and the pattern must be same then those matrices are considered equal. Also here are my own handwritten notes which I made while learning these things about matrices.