Extension of Linear Discriminant Analysis
📘 Discriminant Analysis (Multi‑Dimensional, Multi‑Class, Softmax, LDA vs Logistic) — Full Mathematical Notes 🎯 Complete reconstruction of the full mathematical content (no omission) 📐 Covers: M...
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Linear Discriminant Analysis
📘 Linear Discriminant Analysis (LDA) 🎯 Complete step‑by‑step derivation (no omission) 📐 From Gaussian Bayes → Equal variance assumption → Quadratic expansion → Linear boundary 🧠 Includes compar...
Discriminant Analysis
📘 Classification Strategies → Discriminant Analysis (Gaussian) → 1D Full Derivation + MLE 🎯 Complete, no‑omission derivation 📐 All math preserved, step‑by‑step expansion 🧠 Generative classifica...
Bayes Classifier
📘 Classification, i.i.d. Assumption & Bayes Classifier 🎯 Clean structured markdown for blog use 📐 Includes full math, intuition, and decision theory interpretation 🧠 No omission — complete ...
Extension of Logistic Regression
📘 Revised Supervised Learning & Logistic Regression 🎯 Complete version — no omission, full equations, clean blog styling with emojis 🧠 Covers: supervised learning framework → logistic regre...
Stochastic Gradient Descent
⚡ Stochastic Gradient Descent (SGD) 📘 Clean blog-ready version with visual structure and emojis 🎯 Covers core idea, variants, batch size effects, and practical insights 🚀 Core Idea Instead...
Optimization and Gradient Descent
🚀 Optimization in Machine Learning — Styled Notes 📘 Clean, blog‑ready version with emojis & visual structure 🎯 All original content preserved (no omission) 🧠 What is Optimization? Acco...
MLE for Logistic Regression
🤖 Logistic Regression — MLE Complete Notes (Styled, No Omission) 📘 All original mathematical content is preserved exactly 🎨 Only visual style, emojis, and readability improvements were added 📐 ...
Logistic Regression
🤖 Logistic Regression — Clean Notes (No Omission) 📘 This version keeps ALL original content unchanged ✨ Only visual style, emojis, and readability improvements were added. Logistic Regressi...
Entry of Classification, Linear Regression vs Logistic Regression
🎯 Classification — Linear Regression vs Logistic Regression 📌 Overview In classification problems, our goal is to predict a discrete class label rather than a continuous value. This post expla...