PinnedVIKRANT SINGHinDev GeniusEvaluation of RAG PipelineLately, my focus has been on a particular use case involving the development of an application with the ability to interact with both graph…Feb 20Feb 20
VIKRANT SINGHImplementing MLOps on Databricks: Experimentation and Training in a Sandbox EnvironmentIn this series of articles, we’ll dive deep into the implementation of MLOps on the Databricks platform. This first article focuses on…Aug 17Aug 17
VIKRANT SINGHEnterprise MLOPS Maturity on GCP — Technological LandscapeIn our inaugural article, we embarked on an enlightening journey through the foundational principles of Machine Learning Operations…Mar 17Mar 17
VIKRANT SINGHMetrics for classification in Machine LearningIntroduction to Metrics for Classification in Machine LearningMar 16Mar 16
VIKRANT SINGHEnterprise MLOPS Maturity on GCPEmbarking on the journey from a Proof of Concept (POC) to a fully functional production model is a path filled with challenges and…Mar 15Mar 15
VIKRANT SINGHBest Practices for Big QueryThe exploration of Google BigQuery from its introduction, through basic and advanced querying techniques, to the intricacies of authorized…Mar 5Mar 5
VIKRANT SINGHAuthorized Views in Big QueryAuthorized views and access control are critical components of managing and securing data within Google BigQuery. These features allow…Mar 4Mar 4
VIKRANT SINGHAdvanced Concepts In Big QueryDiving into advanced query techniques in Google BigQuery unlocks a deeper level of data analysis, enabling more complex, efficient, and…Mar 3Mar 3
VIKRANT SINGHGetting Started with BigQueryGetting started with Google BigQuery involves a few foundational steps that set the stage for efficient, scalable data analysis. From…Feb 27Feb 27