Machine Learning: 2 Books in 1: Machine Learning for Beginners, Machine Learning Mathematics. An Introduction Guide to Understand Data Science Through the Business Application by Samuel Hack

Machine Learning: 2 Books in 1: Machine Learning for Beginners, Machine Learning Mathematics. An Introduction Guide to Understand Data Science Through the Business Application by Samuel Hack

Author:Samuel Hack [Hack, Samuel]
Language: eng
Format: epub
Published: 2019-11-08T17:00:00+00:00


Data optimization is another area that machine learning is closely linked with. Various learning issues can be formulated as minimization of certain “loss function” on training data set. “Loss functions” are derived as the difference between the predictions generated by the model being trained and the input data values. The distinction between the two areas stems from the objective of “generalization”. Optimization algorithms are designed to decrease the loss of the training data set. The objective of machine learning is to minimize the loss of input data from the real world.



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