Machine Learning Mathematics: Study Deep Learning Through Data Science. How to Build Artificial Intelligence Through Concepts of Statistics, Algorithms, Analysis and Data Mining by Hack Samuel

Author:Hack, Samuel [Hack, Samuel]
Language: eng
Format: epub
Published: 2020-04-24T16:00:00+00:00

Another approach would be to duplicate the training dataset, i.e. the dataset can be divided and each data set will contain a replica of the model. This approach is favored for the models that require all fields of an instance for performing the computations, for example, "LDA", 'MF".

Another approach can be to parallelize the entire model, meaning the model can be separated and every partition can be responsible for the maintenance of a fraction of the variables. This approach is best suited for linear machine learning models like "Linear Regression", "Support Vector Machine".

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