3. bnlearn tutorial

Tutorial: Probabilistic modeling with Bayesian networks in bnlearn Lecture notes by Sara Taheri Installing bnlearn Open RStudio and in console type: install.packages(bnlearn) install.packages(Rgraphviz) If you experience problems installing Rgraphviz, try the following script: if (!requireNamespace("BiocManager", quietly = TRUE)) install.packages("BiocManager") BiocManager::install("Rgraphviz") ## Warning: package 'Rgraphviz' was built under R version 3.4.2...

2. Pyro tutorial

Causal Machine Learning Pyro: Deep Universal Probabilistic Programming Prof. Robert Ness Khoury College of Computer Sciences – Northeastern University import torch import pyro pyro.set_rng_seed(101) Recap on Motivation: Our goal is to understand causal modeling within the context of generative machine learning. We just examined one generative machine learning framework called...

1. Introduction

Causal Machine Learning - Introduction May 8th, 2019 Prof. Robert Ness Khoury College of Computer Sciences - Northeastern University 1. Introduction Discovering the direction of causality has been of interest for scientists for a long time. Researchers devote many years of their lives to discover and validate a single direction...