• Aug 13, 2022

    Time and Space Complexity of Machine Learning Models

    We detail the time complexity of machine learning models.
  • Jan 10, 2022

    Receiver Operating Curve

    The receiver operating curve, or ROC in short, and its area is a metric that measures how well a model discriminates the labels. The the ROC curve is used to determine the optimal threshold probability for the Bayes predictor.
  • Dec 1, 2021

    Model Deployment with AWS Sagemaker

    Deploy custom model in AWS Sagemaker using containers.
  • Nov 1, 2021

    Cross Validation

    Cross validation is a data training process whereby multiple traininig-validation folds are generated. This results in several sample estimates of the metric of interest.
  • Oct 9, 2021

    Power Test

    The power statistics calculates the probability of rejecting the null hypothesis assuming that the alternative is true. This is used to estimate sample sizes for trial experiments.