Data Science Tutorials

This guide explores regression testing concepts, strategies, and tools to help you maintain software reliability and prevent new bugs after every update.

This guide explains the mathematical properties of Softplus, its advantages and trade-offs, implementation in PyTorch, and when to switch from ReLU.

Understand discrete probability distributions in data science. Explore PMF, CDF, and major types like Bernoulli, Binomial, and Poisson with Python examples.

Discover Chrome DevTools MCP, the AI-driven way to control Chrome with natural language. Automate navigation, debugging, and testing instantly.

Learn how to install and use Claude for Chrome, Anthropic’s AI-powered browser assistant. Discover how it automates form filling, email cleanup, and web tasks, plus key safety tips and current limitations.

Learn about hybrid search and how to utilize it in MongoDB.

Learn how linear programming transforms complex decision-making into solvable mathematical problems. Discover optimization techniques, solution algorithms, and practical Python implementations for resource allocation, scheduling, and planning challenges.

Master Microsoft Word’s AI assistant, from setup to drafting, editing, summarizing, formatting, and prompt strategies.

Learn how to build an AI-powered image search app using BridgeTower, Streamlit, and Hugging Face Transformers. A step-by-step tutorial on multimodal AI.

Learn when and how to use Python's reduce(). Includes practical examples and best practices.

Discover how to build and deploy a FastAPI-powered RAG system with LangChain. Learn about async processing, efficient API calls, and document retrieval techniques.

Learn step-by-step how to activate Copilot in Excel, use AI prompts to analyze, visualize, and automate your data, and apply ready-made examples to real-world spreadsheet tasks.