A journey starting from the standard formulation of linear regression, moving on to the probabilistic approach, and then progressing to Bayesian linear regression.
Read it!"By incorporating existing physical principles into machine learning we are able to create more powerful models that learn from data and build upon our existing scientific knowledge."
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