Machine Learning
Using Bayesian Optimization to Tune Machine Learning Models
The Seven Tools of Causal Inference, with Reflections on Machine Learning
DSA ADS Course - 2021
Causality, Causal Reasoning, Causal Inference, Machine Learning, Algorithms
Discuss causality and machine learning - contrast with statistical correlations.
The Seven Tools of Causal Inference, with Reflections on Machine Learning - March, 2019 By Judea Pearl
Methodological conduct of prognostic prediction models developed using machine learning in oncology: a systematic review
April, 2022
Abstract
Background
Describe and evaluate the methodological conduct of prognostic prediction models developed using machine learning methods in oncology.
Methods
Completeness of reporting of clinical prediction models developed using supervised machine learning: a systematic review
January, 2022
Abstract
Background
While many studies have consistently found incomplete reporting of regression-based prediction model studies, evidence is lacking for machine learning-based prediction model studies. We aim to systematically review the adherence of Machine Learning (ML)-based prediction model studies to the Transparent Reporting of a multivariable prediction model for Individual Prognosis Or Diagnosis (TRIPOD) Statement.
Methods
Approximate Decision Trees For Machine Learning Classification on Tiny Printed Circuits
Robust and Energy-efficient PPG-based Heart-Rate Monitoring
March, 2022
Abstract