KLDIVGradient Boosting ClassifierThe gradient boosting yields a better recall score but performs poorer than the logistic regression in terms of accuracy and precision.3 min read·Apr 9, 2021----
KLDIVLogistic Regression with RegularizationIn this post, we described logistic regression. This post discusses logistic regression with regularization.2 min read·Apr 9, 2021----
KLDIVLogistic RegressionLogistic regression is the benchmark method for classification. It serves as one crucial step in the IEBAE (I/O, Exploration, Benchmark…3 min read·Apr 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…4 min read·Apr 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 documentation8 min read·Dec 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…5 min read·Jun 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…6 min read·May 22, 2019----