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Machine Learning theory is a field that combines statistical, probabilistic, computer science, and algorithmic aspects, arising from learning iteratively from data and finding hidden insights that can be used to build intelligent applications.

In spite of the immense possibilities of Machine and Deep Learning, a vast mathematical understanding of a variety of these techniques is necessary for a better understanding of the inner workings of the algorithms and getting better results

source: blog-gn.dronacharya.info/index.php/the-mathematics-of-machine-learning/

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