• Model Deployment with AWS Sagemaker

    Deploy custom model in AWS Sagemaker using containers.
  • 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.
  • Kernel Methods

    We explore the use of Kernels in classification, regression and density estimation.
  • Clustering K-Means

    Kmeans clustering is a learning algorithm whereby datapoints are clustered in an unsupervised manner.
  • Bayesian Network

    Bayesian networks encode probabilistic models in directed acyclic graphs. A node represents a covariate and the edges encode the conditional probabilities. We describe bayesian networks, give examples and explain how to determine the graph given observed data- structure learning.