Anupama Bidargaddi·Aug 4📉 How Does a Computer Find the “Best” Line?“Anyone can draw a line through a dataset. The real challenge is proving that one line is better than all the others.”
Mr. Vivek Kumar·Mar 9Linear Regression & Its TypesLinear Regression and its types explained in detail.
InLarge Language Model: Probability and Common SensebyGoh Chun Lin·Nov 18, 2025The Assembly Line: Why “Deep” Learning?We often hear the term “Deep Learning,” but what does “Deep” actually mean? And why do we need multiple layers to predict the next word?
InGraphicmathsbyMartin McBride·Sep 25, 2025The imaginary error function, erfiThe imaginary error function, erfi(x), is a close relative of the error function, erf(x). It is used for solving certain types of…A response icon1A response icon1
Mohith·Jul 28, 2025Maximum Likelihood Estimation: Finding The Optimal ParameterA Concise Guide to MLE, Likelihood Functions, and Data-Driven Estimation
Micheal Bee·Apr 24, 2025Proposal: The “Artificial Organism” Model — An Integrated Modular AI ArchitectureAbstractA response icon1A response icon1
Milin Sharma·Apr 23, 2025End to End Machine Learning Project — Day 2Following the Hands On Machine Learning O’Reilly Book we made it to chapter 2 where we will do an end to end machine learning project…
Abhishek Jain·Sep 17, 2024Mathematics behind SVM in Soft MarginFor hard margin plane, we have the following equations :
InArtificial Intelligence in Plain EnglishbyAjay Verma·Jan 26, 2024Navigating the Landscape of Loss Functions: Understanding Convexity, Minima, and Error FunctionsIn the intricate world of machine learning, the choice of a suitable loss function is paramount for model training and optimization. Loss…
Gaurav Jain·Jan 8, 2024Darting into ML: A Beginner’s Guide to Loss FunctionsWhat is a loss function in Machine Learning?
