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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. -
Deploying with Docker Containers
I explain how to use Docker containers to deploy a machine learning application. -
Deploy Machine Learning using Flask
In this post I explain how to run a machine learning model on a cloud computer and access its predictions via an API.
