Model Evaluation: How to Trust a Model Before It Goes Live Learn how validation, cross-validation, and a locked test set help choose a model without fooling yourself. July 8, 2026 AI
Bias-Variance Tradeoff: The Debugging Loop with Validation and Learning Curves A story-driven guide to the bias-variance tradeoff, showing how validation curves and learning curves diagnose underfitting, overfitting, and when more training data actually helps. June 14, 2026 AI
From Probability Distributions to Loss Functions Learn how maximum likelihood connects distributions to loss functions, why raw likelihood underflows, and how negative log-likelihood makes training possible. June 5, 2026 AI
Reading Neural Networks - Every Arrow Has an Address Learn how to read a fully connected neural network diagram — from layers and activations to weight matrices, subscripts, and arrow labels. June 4, 2026 AI
Neural Network Notation - From Arrows to Weight Matrices Decode neural network notation through a rocket launch story. Learn layers, weight subscripts, Wᵀ, hidden-layer scores, and how vectorization scores a whole dataset at once. June 3, 2026 AI
Machine Learning Notation - From Flight Logs to Symbols Decode the secret language of machine learning notation through an RC flight log story — from rows and features to inputs, labels, indexed values, and predictions. June 3, 2026 AI
Data Preprocessing for Machine Learning: Transforming Messy Logs into Clean Training Data The quest to predict hive health begins with a messy shoebox of hive logs. Follow HiveDoctor as raw records become clean training data for spotting hives in trouble. May 28, 2026 AI
Regularization: Stop Your Model From Chasing Every Buzz YieldMaster looks perfect on spring records, but perfect training charts can hide overfitting. Learn how regularization adds restraint: L1 cuts, L2 calms. May 23, 2026 AI
Agentic Architecture: A Goal-Driven System Understand AI agent architecture with a robot beekeeper story covering agentic loops, tool calls, memory, guardrails, multi-agent systems, and observability. May 17, 2026 AI
Database Replication: When One Database Is Not Enough A story-driven guide to database replication: why one node stops scaling, how replicas help, and why copies can lag or disagree. May 14, 2026 Databases
Inside the Transaction: How Databases HOLD Records Follow a database transaction from lock to disk and learn how WAL, page cache, and crash recovery work together to protect your data. May 13, 2026 Databases
Database Transactions & ACID Guarantees Millions of fans. One perfect seat. Learn how ACID transactions prevents double-sales, freeze time like referees, and beat goldfish memory 🐠. May 12, 2026 Databases
Confusion Matrix, Precision, Recall and F1 - Sherlock’s Fraud Case Sherlock Holmes investigates fraud while uncovering accuracy, precision, recall, and F1 score through the confusion matrix. May 7, 2026 AI
