Rahultiwari·8h agoPCA Explained Visually: How Machine Learning Compresses Many Features Without Losing the Bigger…There is a point in almost every machine learning project where adding more features stops feeling helpful.
Maharshi B·1d agoHow to Become a Forward Deployed Engineer in 2027: The Complete RoadmapWhat a forward deployed engineer really does, how the role differs from solutions engineering and consulting, and a 6–12 month plan to get…
Ramchandra Regmi·1d agoUnderstanding RAG: From Naive RAG to Production RAGForward Deployed Engineering Series — RAG Architecture, Part 1A response icon2A response icon2
Preet Hirani·1d agoGetting AI Through the Architecture ReviewThe questions enterprise IT and security teams ask about AI systems, what they’re really checking, and what to bring so the review takes…
Marina Wyss·2d agoHow to Become a Forward Deployed Engineer in 2026I read 100 job postings to figure out every skill you need (and which you don’t)A response icon1A response icon1
InJIN System ArchitectbyJIN·2d agoThe Graph Was Never the Point: How an Enterprise Ontology Actually Runs AIGraph Engineering
Abhinav Dobhal·2d agoWhat a Forward Deployed AI Engineer Actually Builds: Inside Ed Donner’s 3-Week AI FDE CourseI went through all 129 items in the curriculum of Ed Donner’s new AI FDE course. It’s one insurance-claims agent, built for three weeks…
InTowards Data EngineeringbyTHE BRICK LEARNING·2d agoFrom Data Engineering to AI Engineering: Introducing Forward Deployed Engineer on SnowflakeA complete learning journey to build production-ready Data and AI solutions on Snowflake.
InTowards Data EngineeringbyTHE BRICK LEARNING·3d agoFDE on Databricks: AI/BI genie — Designing Gold for BIWhy Databricks Metric Views Matter
InTowards Data EngineeringbyTHE BRICK LEARNING·3d agoFDE on Databricks: AI/BI Genie — Serving Analytics from the LakehouseFrom Gold tables to business decisions: SQL, dashboards, Genie and alerts
