Published in Towards Data Science·PinnedEigenvectors & Eigenvalues — How to explain them to a 10-year-oldMaking less intuitive concepts intuitive — Eigenvalues & Eigenvectors are central (but not limited) to many of the well-known machine learning algorithms. Algorithms like SVD, PCA, spectral clustering, image segmentation, 3D reconstruction use eigenvalues & eigenvectors as their core logic to function. Despite their usefulness, their criticality in many well-known applications & being part of linear…Machine Learning3 min read
Feb 21The concealed cost of ‘perfect’ recommendation systemsAre we really helping users make better decisions? — Software products nowadays have really solid recommendation systems backed by data from millions of users. …Recommendation System5 min read
Published in Towards Data Science·Nov 24, 2021Kurtosis — How to Explain to a 10-year-oldMaking less intuitive concepts, intuitive — Kurtosis is one of the core concepts in descriptive statistics and is also part of standardized moments in mathematics. The concept itself though easy is often misinterpreted and misunderstood because of the vague definition associated with it. …Data Science4 min read
Published in Towards Data Science·Nov 14, 2021Machine Learning Model Deployment — A Simple ChecklistNecessary things to check before, during, and after deploying your machine learning models to production — There are many things that can go wrong when moving your machine learning model from a research environment to a production environment. Data scientists/ML Engineers often underestimate how easy it is to break an ML model and make the results irreproducible Intended Audience: Data scientists who want to make sure their code/model…Machine Learning4 min read
Published in Towards Data Science·Oct 3, 2021Entropy, explained simplyMaking less intuitive concepts intuitive — Entropy is one of the core concepts of information theory and contributes immensely to the world of machine learning majorly used by (but not restricted to) tree-based algorithms (decision trees, random forest, bagging, boosting, etc) as their core to decide the feature to split (or IG/Gini built on top of…Statistics4 min read
Jun 6, 2021Sharing your LEGOs as a Software DeveloperDon’t clench too hard on your vision, ideas, features, or improvements on your product — As a kid, we always dreaded sharing our toys with others. It was ours and ours alone. No one at times not even our siblings or parents had right over it. …Software Development3 min read
Published in Towards Data Science·Feb 21, 2021Significance of Q-Q PlotsWhat secrets about the data will it tell us? — Understanding the distribution of a variable(s) is one of the first and foremost tasks done while exploring a dataset. One way to test the distribution of continuous variables graphically is via a Q-Q plot. …Statistics4 min read
Published in DataDrivenInvestor·Feb 10, 2021Significance 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 inferences — Let’s try to understand what it is and why it is so important in machine learning & statistics Independent and Identical distribution is when a distribution is well, both independent and identically distributed. Let’s try to breakdown this further. What makes variables Independent?Statistics5 min read
Aug 22, 2020Black Hole Information ParadoxWhat is a black hole ? Black hole is a place where the pull of gravity is so intense that even light cannot get out. This is as a result of matter been squeezed into an infinitesimal space due to death of a star or due to direct collapse of massive dust clouds (causing supermassive like…Blackhole8 min read
Published in Towards Data Science·Jul 12, 2020Introduction to Text Representations for Language Processing — Part 2Advanced techniques for better representation of text & language — In the previous article, we discussed discrete text representation for feeding text to machine learning or artificial intelligence algorithms. We learnt a few techniques, their workings, advantages & disadvantages of each of them. …NLP12 min read
