Machine Learning

• SKU Clustering for Inventory Optimization (15 Oct 2021)
  Optimize inventory using hierarchical clustering. Group SKUs by sales velocity and volatility to improve demand forecasting and reduce costs.


• Common Metrics Derived From the Confusion Matrix (15 Jun 2021)
  Master precision, recall, F1-score, MCC, and Cohen's Kappa. Practical implementation in Python with edge cases and sklearn gotchas explained.


• The Confusion Matrix: Why Accuracy Is a Dangerous Illusion (07 Jun 2021)
  Why 99% accuracy can be worthless. Learn the confusion matrix, Type I and Type II errors, and how to choose metrics that match your real-world costs.


• The Least Squares Method (01 Jun 2021)
  Learn the least squares method from first principles. Derive the normal equations by working backwards from what you want to achieve.


• Linear Algebra for Machine Learning (23 May 2021)
  Discover why Gilbert Strang's MIT course on matrix methods is essential for understanding machine learning algorithms, SVD, and data analysis.