Daily Dose of Data Science | Avi Chawla | Substack·1y25 Most Important Mathematical Definitions in DS
A visual presentation of crucial mathematical definitions used in Data Science and Statistics, such as Gradient Descent, Normal Distribution, MLE, Z-score, and SVD. The post explains these terms and their significance in various applications like dimensionality reduction, optimization, and data modeling.
Hacker News·1yUnsure Calculator
The Unsure Calculator allows users to perform calculations with uncertain values, using range notation to specify the range within which the actual values are expected to fall. The tool simplifies the understanding of statistics by allowing non-exact numbers to be used in calculations, thus making it accessible to a broader audience. Originally created to help with everyday financial decisions, it also finds use in complex equations like the Drake equation in astrophysics. Despite its simplicity and limitations, it runs 250K AST-based computations using the Monte Carlo method for each calculation.
The Palindrome·1yUpdate: "Can Large Language Models replace mathematicians?" fixed!
The post addresses issues encountered when using Substack's LaTeX blocks for mathematical formulas, which affected mobile readability. The author fixed the problem by manually rendering formulas and plans to contact Substack for improvement suggestions.