Aatish KayyathUnderstanding SVD with Topic ModellingWhat is SVD?SVD — Singular Value Decomposition is a technique in linear algebra that is used to decompose or break down a complicated/big…Feb 14Feb 14
Aatish KayyathWords in Wonderland: Understanding Word Embeddings in NLPWord embeddings are dense vector representations of words that capture semantic meaning based on their context. In simpler terms, word…Oct 29, 2023Oct 29, 2023
Aatish KayyathKNN or How Your Neighbors Can Help You Make Better PredictionsIntroductionMar 2, 2023Mar 2, 2023
Aatish KayyathNo Strings Attached: The Freedom of Non-Parametric AlgorithmsIntroductionMar 1, 2023Mar 1, 2023
Aatish KayyathARIMA: The Time Traveler’s Guide to ForecastingWell, the full-form first: Auto-Regressive Integrated Moving Average, quite a mouthful.Feb 23, 20231Feb 23, 20231
Aatish KayyathHighlights of MapReduce and Google File System Papers1. MapReduce: Simplified Data Processing on Large Clusters — paper by Jeffrey Dean and Sanjay GhemawatFeb 15, 20231Feb 15, 20231
Aatish KayyathLinear Regression : ML or Stats?jkLinear regression is a linear model… a model which assumes a linear relationship between the input variable x and the output variable y…May 21, 2022May 21, 2022
Aatish KayyathMulticollinearity — Too many cooks spoil the broth.Multicollinearity is the problem when the independent variables are related to each other.May 21, 2022May 21, 2022
Aatish KayyathConfusion Matrix : Let’s clear this confusion.Confusion Matrix : Performance of your classification algorithm.Oct 28, 2021Oct 28, 2021
