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Introduction to Optimization Techniques
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Introduction to Optimization Techniques:

  • Derivative based optimization- Steepest Descent, Newton method
  • Derivative free optimization- Random Search, Down Hill Simplex

Optimization:

Optimization is at the heart of almost all machine learning techniques. Choosing the best element from some set of available alternatives. We are optimizing variables and basing our personal …

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