Math for Data Science and Machine Learning: University Level

Learn data science and machine learning math, math for artificial intelligence, css, html and computer science



What you'll learn

  • Introduction to matrix
  • Gauss's elimination method
  • Properties of matrix and determinants
  • Echelon and reduce echelon form
  • Vector spaces
  • Linearly dependent and independent set of vectors in vector spaces
  • Basis of a vector space
  • linear transformation and related example and exercises
  • Inner product spaces
  • Eigen values and eigen vectors
  • Introduction to ODE's and PDE's
  • Probability and statistics
  • What is a sample space?
  • Mean, median and mode for grouped and ungrouped data
  • Poison, gamma and uniform distributions
  • And many more probability and statistics related tutorials
  • Gram's Schmidt orthonormal process
  • Pi chart, bar graph, line graph and histogram
  • Permutations and Combinations
  • Sets and Venn Diagram




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