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Linear Programming in Data Science: College/University Level

Be taught linear programming for knowledge science machine studying, deep studying, enterprise examine and synthetic intelligence

What you’ll be taught

  • Coordinate system
  • Places of factors in coordinate system
  • Linear Inequalities
  • Sensible examples of linear inequalities
  • Graphing of linear inequalities
  • Answer of linear inequalities
  • Properties of linear inequality
  • Linear programming
  • Goal capabilities
  • Optimum Options
  • Linear Programming theorem
  • Answer areas
  • Answer areas of constrains with respect to goal capabilities

Requirements

  • Fundamentals of arithmetic

Who this course is for:

  • Data science, machine studying, deep studying, synthetic intelligence


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