ML-07: Nonlinear Regression and Regularization
From straight lines to curves: master polynomial features, understand the bias-variance tradeoff, and tame overfitting with Ridge regularization and cross-validation.
ML-06: Linear Regression
A deep dive into linear regression: understand why squared error works, derive the normal equation step-by-step, explore the geometric intuition behind projections, and implement from scratch.
ML-05: The Bias-Variance Tradeoff
Why do simple models miss patterns while complex ones memorize noise? Master the bias-variance tradeoff to build models that generalize.
ML-04: Why Machine Learning Works
Why does a model trained on limited data work on new examples? Explore the theoretical guarantees behind ML: generalization bounds, VC dimension, and PAC learning.
ML-03: The Complete ML Workflow
Mastering the pocket algorithm for non-separable data, understanding parameters vs hyperparameters, and the complete ML training workflow.
ML-02: The Perceptron and Decision Boundaries
Dive into the perceptron — the building block of neural networks. Learn how a simple linear classifier draws decision boundaries, and build one from scratch.
ML-01: Introduction to Machine Learning
Understanding what machine learning is through the self-driving car example, mastering the core concepts of training and prediction.
ML-00: Python Environment Setup for Machine Learning
Compare Python environment options and set up a reproducible ML environment using Docker for this blog series. We examine System Python, venv, Conda, and Docker, recommending Docker + VSCode Dev Containers for guaranteed reproducibility.
Exploring 3D Model Formats and Their Compatibility with CAE
STL vs STEP vs OBJ? A complete classification of 3D file formats for CAD, 3D printing, and FEA. Learn why mesh conversion is difficult and how to bridge the gap between design and simulation.
Regex Demystified: The 3 Core Pillars of Text Processing
Stop guessing and start matching. A visual, structural guide to mastering Regular Expressions using 3 foundational concepts. Transform complex 'magic spells' into readable building blocks.