Collection of must read papers for Data Science, or Machine Learning / Deep Learning Engineer

A document introducing generalized additive models.📈

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package

This is a Statistical Learning application which will consist of various Machine Learning algorithms and their implementation in R done by me and their in depth interpretation.Documents and reports related to the below mentioned techniques can be found on my Rpubs profile.

A workshop on using generalized additive models and the mgcv package.

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for time series analysis and forecasting

GAMI-Net: Generalized Additive Models with Structured Interactions

Ecological forecasting using Dynamic Generalized Additive Models with R 📦's {mvgam} and {brms}

Workshop 8 - Generalized additive models (GAMs)

Website for Biostat 200C (Methods in Biostatistics C)

Personal coach to help you obtain desired AI decisions!

An introduction to GAM(M)s

GAM workshop for NHS-R Community Conference 2023

Smooth Hazard Ratio Curves Taking a Reference Value

Explainable Recommendation Systems

Paper on identifying patterns in economic development using statistical learning

An R package for estimating generalized additive mixed models with latent variables

Fit, evaluate, and visualise generalised additive models (GAMs) in native Julia

Resolution-independent normalization of Hi-C data

ggplot-based graphics and useful functions for GAMs fitted using the mgcv package