PinnedAll I needed to crack the Microsoft Interview — Machine LearningFor me, these notes were invaluable for a quick review before any data science interview. I hope you find them helpful too.Aug 15, 2024A response icon5Aug 15, 2024A response icon5
PinnedAll I needed to crack the Microsoft Interview — NLPFor me, these notes were invaluable for a quick review before any data science interview. I hope you find them helpful too.Oct 1, 2024Oct 1, 2024
PinnedAll I needed to crack the Microsoft Interview — StatisticsFor me, these notes were invaluable for a quick review before any data science interview. I hope you find them helpful too.Oct 1, 2024A response icon1Oct 1, 2024A response icon1
PinnedAll I needed to crack the Microsoft Interview — Deep LearningFor me, these notes were invaluable for a quick review before any data science interview. I hope you find them helpful too.Aug 22, 2024A response icon2Aug 22, 2024A response icon2
Published inData Science at MicrosoftContinuous improvement with agentic AI: Conducting a virtual gemba walkLeveraging AI-driven multi-agent systems (DeepSeek, AutoGen, Ollama) to revolutionize process optimization, eliminate inefficiencies, and…Apr 17Apr 17
From Fine-Tuning to Fusion: The Role of Agentic AI in Model MergingAfter RAG, fine-tuning has never been the go-to method for improving models, but what if we could go beyond fine-tuning? This blog explores…Feb 8Feb 8
Published inData Science at MicrosoftDecoding signals from unstructured text: The AI wayBy Aparana Gupta and Mehul JainDec 3, 2024A response icon1Dec 3, 2024A response icon1
Data Science Learning PathAll you need to be a Data Scientist.Jul 22, 2024A response icon1Jul 22, 2024A response icon1
RAG: Part 7: EvaluationHow would you trust your development? When evaluating RAG, it’s essential to consider various metrics that assess both the retrieval and…Apr 15, 2024Apr 15, 2024
