TTharunintharunpandya.hashnode.dev·Aug 10 · 7 min readWhat Does It Mean For a Machine to "Learn"?A few weeks back, I was passing through a small town and stopped near a tea stall. I don't drink tea myself, never have, but I ended up standing there for a few minutes just watching the stall owner w10
HHHao Huainh2c-blogs.hashnode.dev·Jul 21 · 6 min readConceptual Training and Inference Workflow of a Deep Learning Model for Supervised Learning TaskTL;DR This page conceptually describes the inference workflow of a Deep Learning Model, wherein a pretrained Deep Learning Model may receive an input for the inference of an output according to the p00
BSBerkan Seseninsesenai.hashnode.dev·Jul 5 · 13 min readHandling Class Imbalance: Downsampling, SMOTE, and BeyondA fraud detection model scores 99.5% accuracy. Sounds excellent until you check the predictions: it labels every single transaction as legitimate. With only 0.5% of transactions being fraudulent, a cl00
SSSilent Scribeinsilentscribejournal.hashnode.dev·Jul 4 · 4 min readFrom Study Hours to Scores: How Linear Regression Predicts the FutureImagine you're a parent trying to guess how many marks your child might score based on how many hours they study. You can't know the exact number, but you can make a smart, data-driven estimate — and 00
BSBerkan Seseninsesenai.hashnode.dev·Jun 29 · 13 min readAIC and BIC: Choosing the Right Model Without OverfittingImagine you're fitting a curve to noisy data. A straight line misses the shape entirely, so you try a quadratic, then a cubic, then keep going. By degree 10 the curve passes through nearly every point00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Jun 26 · 6 min readPart 12: Logistic Regression: How Machines Learn to Make Yes-or-No DecisionsImagine you're ordering food online. Before you place your order, the app might show you a message like: "Will your order arrive within 30 minutes?" The app doesn't know the future, but based on facto00
DKDivyajot Kaurinai-beginners-journey.hashnode.dev·Jun 20 · 4 min readPart 11: What is Gradient Descent?In the previous blog, we learned how Linear Regression finds a best-fit line to make predictions. But an important question remains: How does the model know which line is the best? The answer lies in 00
BSBerkan Seseninsesenai.hashnode.dev·Jun 12 · 13 min readLDA vs PCA: Supervised Meets Unsupervised Dimensionality ReductionYou have a high-dimensional dataset and you need to squeeze it down to two or three dimensions for visualisation or downstream modelling. The go-to move is PCA, and most of the time it works. But cons00
ACAnik Chandinanikchandml.hashnode.dev·May 23 · 2 min read#2 Supervised vs Unsupervised LearningMachine Learning is a branch of Artificial Intelligence (AI) that enables computers to learn from data and make predictions or decisions without being explicitly programmed. Machine learning is mainl00
YPYejun Parkinyejunpark3.hashnode.dev·May 19 · 16 min readClustering Explained: How Machines Find Hidden Patterns Without LabelsWhen you open your email inbox, you don't have to manually sort thousands of messages — your client has already grouped them: promotions here, social notifications there, important work threads up top00
