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What is the main advantage of using sparse matrices in data science?

easy📝 Conceptual Q11 of 15
SciPy - Sparse Matrices (scipy.sparse)
What is the main advantage of using sparse matrices in data science?
AThey make data sorting faster
BThey save memory by storing only non-zero values
CThey convert data into images
DThey increase the size of the data
Step-by-Step Solution
Solution:

  1. Step 1: Understand sparse matrix storage

    Sparse matrices store only the non-zero elements instead of all elements.

  2. Step 2: Identify the benefit

    By storing only non-zero values, sparse matrices save memory space significantly.

  3. Final Answer:

    They save memory by storing only non-zero values -> Option B

  4. Quick Check:

    Sparse matrices = memory saving [OK]
Quick Trick: Sparse matrices store only non-zero values to save memory [OK]
Common Mistakes:
MISTAKES
  • Thinking sparse matrices store all values
  • Confusing sparse matrices with data sorting
  • Assuming sparse matrices increase data size

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