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

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

{mvgam} R 📦 to fit Dynamic Bayesian Generalized Additive Models for multivariate modeling and forecasting

A document introducing generalized additive models.📈

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

GAMI-Net: Generalized Additive Models with Structured Interactions

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.

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

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

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

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

Personal coach to help you obtain desired AI decisions!

A function that takes as input a cropped text line image, and outputs the dewarped image.

R code to replicate analyses in Clark et al 2025 (Beyond single-species models: leveraging multispecies forecasts to navigate the dynamics of ecological predictability)

Workshop 8 - Generalized additive models (GAMs)

An introduction to GAM(M)s

GAM workshop for NHS-R Community Conference 2023

The dataset used for the "Non-Contact Blood Pressure Estimation using infrared motion magnified facial video" publication. The code developed is to fit the data to the reference Blood Pressure values.

The dataset used for the "A non-contact SpO2 estimation using video magnification and infrared data" publication

Paper on identifying patterns in economic development using statistical learning