PinnedPublished inTDS ArchiveEigenvectors & Eigenvalues — How to explain them to a 10-year-oldEigenvalues & Eigenvectors are central (but not limited) to many of the well known machine learning algorithms. Algorithms like SVD, PCA…Dec 26, 20204Dec 26, 20204
The concealed cost of ‘perfect’ recommendation systemsAre we really helping users make better decisions?Feb 21, 2022Feb 21, 2022
Published inTDS ArchiveKurtosis — How to explain to a 10-year-oldMaking less intuitive concepts, intuitiveNov 24, 20211Nov 24, 20211
Published inTDS ArchiveMachine Learning Model Deployment — A Simplistic ChecklistNecessary things to check before and during deployment of your machine learning models to productionNov 14, 20212Nov 14, 20212
Published inTDS ArchiveEntropy — How to explain to a 10-year-oldMaking less intuitive concepts intuitiveOct 3, 20211Oct 3, 20211
Sharing your LEGOs as a Software DeveloperDon’t clench too hard on your vision, ideas, features, or improvements on your productJun 6, 2021Jun 6, 2021
Published inTDS ArchiveSignificance of Q-Q PlotsUnderstanding the distribution of variable(s) is one of the first and foremost task done while exploring a dataset. One way to test the…Feb 21, 2021Feb 21, 2021
Published inDataDrivenInvestorSignificance of I.I.D in Machine LearningThe assumption of I.I.D is central to almost all machine learning algorithms and an explicit assumption in most statistical inferencesFeb 10, 20212Feb 10, 20212
Published inTDS ArchiveIntroduction to Text Representations for Language Processing — Part 2In the previous article, we discussed about discrete text representation for feeding text to machine learning or artificial intelligence…Jul 12, 20201Jul 12, 20201
