Optimization
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At the heart of ML is **optimization**: the process of adjusting parameters so models learn effectively. This chapter explores optimization as a general discipline—finding minima, balancing constraints, and navigating high-dimensional landscapes. Beyond ML, these methods apply to scheduling, logistics, resource allocation, and scientific modeling.

.. toctree::
   :maxdepth: 1
   :caption: Algorithms

   genetic_algorithm/genetic_algorithm.ipynb
   optimization_using_newton_method/optimization_using_newton_method.ipynb