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What is a sparse matrix in the context of data science?

easy📝 Conceptual Q1 of 15
SciPy - Sparse Matrices (scipy.sparse)
What is a sparse matrix in the context of data science?
AA matrix mostly filled with zeros
BA matrix with only positive numbers
CA matrix with no zeros
DA matrix that stores only diagonal elements
Step-by-Step Solution
Solution:

  1. Step 1: Understand the definition of sparse matrix

    A sparse matrix is one where most elements are zero, saving memory and computation.

  2. Step 2: Compare options with definition

    Only A matrix mostly filled with zeros correctly describes a matrix mostly filled with zeros.

  3. Final Answer:

    A matrix mostly filled with zeros -> Option A

  4. Quick Check:

    Sparse matrix = Mostly zeros [OK]
Quick Trick: Sparse means mostly zeros to save space [OK]
Common Mistakes:
MISTAKES
  • Thinking sparse means only positive numbers
  • Confusing sparse with diagonal matrix
  • Assuming sparse means no zeros

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