RADHAMADHAB DALAI·May 11Optimization Theory and Applications-3Gradient of Quadratic Forms and the Matrix Product Rule
AmeerSaleem·May 18, 2025Distribution-based clustering with the Gaussian Mixture ModelExplaining how to group data into Multivariate Gaussian clusters, with an application of the Expectation Maximisation algorithm.
AmeerSaleem·May 12, 2025Why the Multivariate Gaussian distribution isn’t as scary as you might thinkExplaining how the Multivariate Gaussian’s parameters and probability density function are a natural extension one-dimensional version.
Ujang Riswanto·Apr 9, 2025Understanding the Math Behind Multivariate Logistic RegressionMultivariate logistic regression isn’t just about crunching numbers — it’s about making data-driven decisions.
Ujang Riswanto·Apr 8, 2025Real-World Applications of Multivariate Logistic Regression You Should KnowMultivariate logistic regression is like the cooler, more capable sibling of regular logistic regression.
Ujang Riswanto·Apr 7, 2025How Multivariate Logistic Regression Helps Analyze Complex RelationshipsMultivariate logistic regression is a powerful tool for diving deep into messy data.
Tilak Mudgal·Nov 4, 2024OutliersOutliers are data points that are noticeably different from the rest of the data. They may be extremely high or low values that don’t…
InEpsilon Engineering BlogbyRishi Chandra·Mar 12, 2024Multivariate joint probabilistic outlier detection through Mahalanobis distanceBy Rishi Chandra
Prashant Sankhla·Jul 7, 2023Understanding the Differences: Deep Learning Models, Tree-Based Models, Multivariate Models, and AIUnderstanding the Differences: Deep Learning Models, Tree-Based Models, Multivariate Models, and AI
InTowards AIbyDavid Andres·May 20, 2023Unleash the Power of Multivariate Time Series Forecasting with Vector Autoregression (VAR) Models…There are times when we need to forecast several variables at the same time. For these occasions, traditional methods such as ARIMA or…A response icon1A response icon1
