PinnedDhiraj KinAWS in Plain EnglishSageMaker Pipelines for Efficient Machine Learning WorkflowsImagine this: You’re developing a machine learning model to predict customer churn for a large retail company. The datasets are massive…5d ago5d ago
PinnedDhiraj KinGenerative AIExploring GenAI: Foundation Models, Multi-Modal Models, and Diffusion ModelsUnderstanding when and how to deploy each type of model requires a solid grasp of their strengths and limitations. Each model type brings…1d ago1d ago
PinnedDhiraj KinThe StartupHarnessing AI and Machine Learning to Influence Voter Behavior in ElectionsImagine it’s election season, and you’re scrolling through your social media feed. As you scroll, you notice a series of political ads…1d ago1d ago
PinnedDhiraj KinArtificial Intelligence in Plain EnglishRAG Model: Utilize Vector Databases and Advanced Indexing TechniquesSubscribeSep 5Sep 5
PinnedDhiraj KinThe StartupNeural Network From Scratch in PythonDemystifying the so-called Black Box of Neural NetworkSep 12, 20204Sep 12, 20204
Dhiraj KMastering Matplotlib: Top 10 Handy Tricks for Data ScientistsImagine you’re presenting an insightful analysis in a meeting. Your complex charts are bursting with valuable data, but they don’t quite…Just nowJust now
Dhiraj KinPython in Plain EnglishTop 10 Handy NumPy Tricks for Data ScientistsIntroduction: Unlocking NumPy’s Full Potential with Simple Tricks2d ago2d ago
Dhiraj KinPython in Plain EnglishTop 10 Pandas Tricks for Data ScientistsIntroduction: How Small Tricks Can Save Big Time3d ago3d ago
Dhiraj KinPython in Plain EnglishTop 10 Python Tricks for Data ScientistsImagine you’re working on a tight deadline, trying to make sense of a massive dataset, and your code takes forever to run. Then you recall…4d ago4d ago
Dhiraj KinArtificial Intelligence in Plain EnglishRAG: Crafting Effective Chunking StrategiesIntroduction: The Importance of Chunking in RAG6d ago6d ago
