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Machine Learning is a subfield of computer science that draws on elements from algorithmic analysis, computational statistics, mathematics, optimization, etc. It is mainly concerned with the use of data to construct models that have high predictive/forecasting ability. Topics include modeling building, applications, theory, etc.

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The connection between optimization and generalization

Optimization algorithms such as gradient descent or particle swarm can find a minima in a function. On the other hand, learning methods such as back-prop define learning as an optimization problem an …
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