KLDIVGradient Boosting ClassifierThe gradient boosting yields a better recall score but performs poorer than the logistic regression in terms of accuracy and precision.Apr 9, 2021Apr 9, 2021
KLDIVLogistic Regression with RegularizationIn this post, we described logistic regression. This post discusses logistic regression with regularization.Apr 9, 2021Apr 9, 2021
KLDIVLogistic RegressionLogistic regression is the benchmark method for classification. It serves as one crucial step in the IEBAE (I/O, Exploration, Benchmark…Apr 9, 2021Apr 9, 2021
KLDIVData Analysis with Linear ModelsIn this article, we illustrate the IEBAE (pronounced as “ebay”, I/O, Exploration, Benchmark, Analysis, Evaluation) framework with a linear…Apr 6, 2021Apr 6, 2021
KLDIVinAnalytics VidhyaPhysics-Based Machine Learning: Combining Scientific Computing and Machine Learning for Inverse…This is a section from the physics-based machine learning library ADCME documentationDec 25, 2019Dec 25, 2019
KLDIVIntroduction to ADCME.jl: An Inverse Modeling Library for Scientific ComputingInverse modeling is everywhere in scientific computing. Deep learning and PyTorch are everywhere in deep learning. ADCME.jl is the dealer…Jun 3, 2019Jun 3, 2019
KLDIVThe neural network approach to solving inverse problems for physicsHow can neural networks stack up against parametrization method used in engineering developed over last half century? A tentative answer…May 22, 2019May 22, 2019
