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Introduction

These are my notes on machine learning (ML), covering both foundational concepts and interoperability protocols. Currently, I’ve documented the Model Context Protocol (MCP) and its practical applications, including architecture, example agents, and integration with frameworks like LangChain. As I continue to explore ML, I plan to expand these notes with more algorithms, models, and real-world case studies. My aim is to build a strong understanding of ML principles and how they connect with modern AI systems and tools.

Content Table​

  1. MCP
    1. Introduction
    2. Hello World
    3. Architecture
    4. LangChain

I will continue to expand these notes as I explore new topics and techniques in machine learning.