Modern API-driven applications need to be reliable and consistent. However, issues such as network retries or duplicate requests can result in duplicate transactions or duplicate database entries. To solve this,
Category: TECH
Kernel Trick Logic: Mapping Data into Higher Dimensions to Solve Non-Linear ProblemsKernel Trick Logic: Mapping Data into Higher Dimensions to Solve Non-Linear Problems
Introduction Many real-world datasets are not neatly separable with a straight line. Customer behaviour, credit risk, disease patterns, image pixels, and sensor readings often form curved boundaries. If you try
Dashboarding with Star and Snowflake Schemas: Differentiating between flat and normalised dimensional modelling approaches for optimised analytical reportingDashboarding with Star and Snowflake Schemas: Differentiating between flat and normalised dimensional modelling approaches for optimised analytical reporting
Modern dashboards are only as reliable as the data model beneath them. When measures appear inconsistent across visuals, filters behave unpredictably, or reports become slow as soon as you add
Markov Chain Monte Carlo Sampling: Metropolis–Hastings for Complex Bayesian PosteriorsMarkov Chain Monte Carlo Sampling: Metropolis–Hastings for Complex Bayesian Posteriors
Understanding the Bayesian sampling problem Bayesian statistics gives you a principled way to update beliefs using data. You start with a prior, combine it with a likelihood, and obtain a
Customer Behaviour Analytics: New Techniques for PersonalisationCustomer Behaviour Analytics: New Techniques for Personalisation
Understanding why customers behave the way they do has become a critical capability for modern businesses. Customer behaviour analytics focuses on studying interactions, preferences, and decision patterns to deliver more