PinnedSundaresh ChandraninTowards Data ScienceEigenvectors & 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…3 min read·Dec 26, 2020--4--4
Sundaresh ChandranThe concealed cost of ‘perfect’ recommendation systemsAre we really helping users make better decisions?5 min read·Feb 21, 2022----
Sundaresh ChandraninTowards Data ScienceKurtosis — How to explain to a 10-year-oldMaking less intuitive concepts, intuitive4 min read·Nov 24, 2021--1--1
Sundaresh ChandraninTowards Data ScienceMachine Learning Model Deployment — A Simplistic ChecklistNecessary things to check before and during deployment of your machine learning models to production4 min read·Nov 14, 2021--2--2
Sundaresh ChandraninTowards Data ScienceEntropy — How to explain to a 10-year-oldMaking less intuitive concepts intuitive4 min read·Oct 3, 2021--1--1
Sundaresh ChandranSharing your LEGOs as a Software DeveloperDon’t clench too hard on your vision, ideas, features, or improvements on your product3 min read·Jun 6, 2021----
Sundaresh ChandraninTowards Data ScienceSignificance 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…4 min read·Feb 21, 2021----
Sundaresh ChandraninDataDrivenInvestorSignificance 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 inferences5 min read·Feb 10, 2021--2--2
Sundaresh ChandraninTowards Data ScienceIntroduction 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…12 min read·Jul 12, 2020--1--1