Category «Machine Learning»

🌱 Stock Farming: From Seeds to Storm — A Story of Financial Growth and Collapse

There was once a farmer who believed he had mastered the art of growing crops. He didn’t just grow wheat or rice. He experimented. He combined seeds, layered techniques, used irrigation systems, and built complex farming methods that promised higher yields. For years, his farm flourished. But one season, everything failed—spectacularly. This is not just …

FRM Part 1

📘 Book: Foundations of Risk Management (FRM) This book builds the base of risk, financial markets, models, and governance. 🧠 MODULE / CHAPTER-WISE SUMMARY 📌 Module 1: Risk Management – Foundations Summary: Key Idea: Risk is uncertainty that can impact financial outcomes. 📌 Module 2: Risk Appetite & Governance Summary: Key Idea: Firms must align …

Protected: veda-upnishad and upveda

There is no excerpt because this is a protected post.

Ai frameworks

Framework / Tool Description LangChain Popular framework to build LLM-powered agents using chains, memory, tools. LangGraph Graph-based agentic extension of LangChain for managing agent workflows. Auto-GPT Autonomous agent built on top of GPT models that can plan and execute goals. BabyAGI Lightweight, task-based autonomous agent that loops tasks with memory. CrewAI Multi-agent framework where different …

Protected: Data Engineering Path

There is no excerpt because this is a protected post.

Recommendation System

Humans need recommendation since childhood, he needs to know what is good for him, like where and how he spends his holidays, which food is good for him, what subjects are best for him, what are best colleges, etc.. In terms of implementation we can divide it into two categories: Memory-based: Use Statistical tool like …