Sam EricksoninAI AdvancesImage Compression in Python using Singular Value DecompositionIn this article, I will show you how to perform lossy image compression in Python, by using a method from linear algebra called singular…Mar 18Mar 18
Sam EricksonHow to Improve Decision Tree Performance with PCADecision and classification trees (CART), and methods derived from them such as random forests and even gradient boosted trees do very well…Feb 18Feb 18
Sam EricksonApplying Association Rule Mining to the IMDb DatasetI really enjoy watching new movies, especially “good” ones. But what constitutes a “good” movie? Although this is a rather subjective…Jan 21Jan 21
Sam EricksonApplying K-Medoids Clustering to S&P Sector Indices, Part IIIIn part I and part II of this series, I applied K-Medoids to the problem of clustering different S&P sector data in order to determine…Jan 14Jan 14
Sam EricksonSeven Things I Learned from “The Elements of Statistical Learning”In this article, I will go over the top seven lessons that I learned from reading the book “The Elements of Statistical Learning” by Jerome…Jan 9Jan 9
Sam EricksonApplying K-Medoids Clustering to S&P Sector Indices, Part IIIn the last article I wrote, I applied K-Medoids to S&P sector data, using a dissimilarity measure derived from the correlation…Jan 71Jan 71
Sam EricksonApplying K-Medoids Clustering to S&P Sector Indices, Part II recently have been writing much about the S&P sector indices. Specifically, I have been interested in determining which sectors…Dec 31, 2023Dec 31, 2023
Sam EricksonApplying XGBoost to Analyze S&P Sector IndicesIn my last article, I applied ordinary least squares to the problem of predicting the S&P 500 index from the S&P sector indices. The goal…Dec 26, 2023Dec 26, 2023
Sam EricksonApplying Ordinary Least Squares to Analyze S&P 500 Sector IndicesThe other day, I was suddenly curious about which financial market sectors have the biggest impact on the S&P 500 index. Sure, I could just…Dec 16, 20231Dec 16, 20231