Category «Tensorflow»

🌱 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

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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

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PCA Principal Component Analysis

Principal component analysis (PCA) is used as a dimensionality reduction technique. When we have a lot of dimension in data it’s difficult to find the dimensions which are responsible for the results. Let us consider a scenario in which you have an army of 10,000 soldiers. How can we determine that the army will win …