About Us

     Welcome to Tech Quest, my personal diary chronicling the life of a developer. As we continuously learn new technologies, it's easy to forget past lessons. This blog captures my key learnings, fundamental concepts, and results from new experiments. Join me as I document my career growth and explore the ever-evolving world of technology.


Popular posts from this blog

Bayesian Additive Regression Trees ( BART )

Image
Bayesian approach to nonparametric function estimation using Regression trees. Regression Decision trees rely on recursive binary partitioning of predictor space into a set of hyper-rectangles to approximate some unknown function.  BART is defined by Two Major concepts : Sum-Of-Trees Model Regularized Priors Sum-Of-Trees Model Drawbacks of Single Decision Tree: Over-emphasize the interactions between the Variables. Have Difficulty finding Linear relationships. Alternative: Fit many small models ( sequential weak learners ) using Back-Fitting Algorithm where, T  → Binary Regression Tree M → Terminal Node parameters Back-Fitting Algorithm :  Fit a small regression tree Get fitted values from that tree Estimate the Residuals = True values - Observed Values Fit next Regression tree on above residuals Process continues till m number of Trees are fitted. Regularized Priors Any Tree based Model can easily overfit the data. Boosted Regression Trees limit the tree depth ...
Read more