Rahul KumarinNerd For TechWhy Large Language Model HallucinateWe will continue our talk on basis what , why and how to minimize hallucinationJun 6, 2023Jun 6, 2023
Rahul KumarinNerd For TechPlaying with Losses For Search Rank PersonalizationThe objective of any search algorithm can vary depending on the platform at hand. While some platforms aim at increasing website engagement…Apr 23, 2023Apr 23, 2023
Rahul KumarinGeek CultureData Driven Aggregation ~Unsupervised WayAggregation combines several independent variables to a dependent variable. The dependent variable should preserve properties of the…Apr 7, 2023Apr 7, 2023
Rahul KumarinGeek CulturePractical Challenges for Real Time CF based Recommender SystemsCollaborative Filtering OverviewMar 31, 2023Mar 31, 2023
Rahul KumarClass Imbalance in Model MonitoringIt’s common for ML models to be used to detect rare cases that don’t actually occur that frequently in real-world data. Consider the…Jan 10, 2023Jan 10, 2023
Rahul KumarinGeek CultureUnstructured Model MonitoringA growing number of organizations build natural language processing (NLP) and computer vision (CV) models that are comprised of…Jan 7, 2023Jan 7, 2023
Rahul KumarinNerd For TechWhy Multidimensional Scaling Fails?Why MDS Fails in giving us Meaningful Embeddings:Feb 16, 2022Feb 16, 2022
Rahul KumarinGeek CultureHandling Model Inadequacies — Linear RegressionThis article deals with approaches to handle the Inadequacies of linear model.Jun 23, 2021Jun 23, 2021
Rahul KumarTargeting the Best Prospects for a Charity MailingTargeted marketing is a classic business problem for applying data science principles and techniques, because the fundamental structure of…Apr 2, 2019Apr 2, 2019