How to Search Video Content Using Transcripts, Metadata, and Embeddings
Learn how to build AI video content search using transcripts, metadata, embeddings, filters, and recommendations in an AI-native database.
machine learning
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Why Your Database Can’t Actually See Your Users (And What That’s Really Costing You)
When I embarked on this journey of building SQLv2—which enables any relational database to have machine learning, AI, and vector capabilities natively—I never thought it would become a reality. But today in 2025, I see this coming to life, and what it really does is fundamentally change the paradigm of having to build complex ETL processes and pipelines just to create machine learning models and achieve predictability in near real-time.
Creating a quiz app with Streamlit
Discover how Streamlit is revolutionizing web app development for data scientists and developers. Learn about its key features and how to create interactive quiz apps effortlessly.
Using Python and Pandas to build Machine learning models
This document offers a comprehensive guide to setting up Python and Pandas, covering installation, data structures, basic operations, data cleaning, handling missing values, data visualization, and various machine learning techniques for both regression and classification problems. It includes practical examples and explanations, evaluation metrics, hyperparameter tuning, and use of ensemble methods. The content concludes with case studies and a project to build a machine learning model, emphasizing the importance of each step from data preprocessing to model deployment.