04 - Modeling

Exam / AWS / MLS-C01 / Whizlabs

[MLS-C01] [Modeling] Introduction

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Generate example data to use in training Train the model to make predictions, or inferences Use an algorithm and example data to train the model Evaluate the model for infer...

Posted by Oscaner on June 24, 2022

[MLS-C01] [Modeling] Modeling Concepts

_{-「Exam / AWS / MLS-C01 / Whizlabs / 04 - Modeling」}

Types of Machine Learning Supervised machine learning Unsupervised machine learning Reinforcement machine learning Supervised ML Target variable (dependent variable) to be predicted...

Posted by Oscaner on June 24, 2022

[MLS-C01] [Modeling] Train machine learning models

_{-「Exam / AWS / MLS-C01 / Whizlabs / 04 - Modeling」}

Training the model is part of the iterative model improvement cycle Training & Inference Instances Training and inference instances for SageMaker built-in algorithms The Steps of Trainin...

Posted by Oscaner on June 25, 2022

[MLS-C01] [Modeling] Perform automatic model tuning

_{-「Exam / AWS / MLS-C01 / Whizlabs / 04 - Modeling」}

Model tuning is part of the iterative model improvement cycle Tuning and Evaluating Machine Learning with SageMaker Generate example data to use in training Train the model to make predic...

Posted by Oscaner on June 29, 2022