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Added introduction and updated toc.yml
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shreyashguptas committed Nov 21, 2024
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4 changes: 4 additions & 0 deletions _toc.yml
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format: jb-book
root: README.md
parts:
- caption: Introduction to the course
chapters:
- file: chapters/Introduction.ipynb
title: Introduction
- caption: Foundations of Machine Learning
chapters:
- file: chapters/Chapter 1 - Introduction to Machine Learning
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49 changes: 49 additions & 0 deletions chapters/Introduction.ipynb
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{
"cells": [
{
"cell_type": "markdown",
"metadata": {},
"source": [
"# Introduction\n",
"\n",
"## What is Machine Learning?\n",
"\n",
"Machine Learning is a subfield of Artificial Intelligence that involves training computers to learn patterns in data and make predictions or decisions based on that learning.\n",
"\n",
"## How does Machine Learning work?\n",
"\n",
"Machine Learning algorithms are designed to learn patterns in data and make predictions or decisions based on that learning.\n",
"\n",
"## What are the different types of Machine Learning?\n",
"\n",
"There are three main types of Machine Learning: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.\n",
"\n",
"## What are the different types of Machine Learning?\n",
"\n",
"There are three main types of Machine Learning: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.\n",
"\n",
"## What are the different types of Machine Learning?\n",
"\n",
"There are three main types of Machine Learning: Supervised Learning, Unsupervised Learning, and Reinforcement Learning.\n",
"\n",
"## What are the different types of Machine Learning?\n",
"\n",
"There are three main types of Machine Learning: Supervised Learning, Unsupervised Learning, and Reinforcement Learning."
]
},
{
"cell_type": "code",
"execution_count": null,
"metadata": {},
"outputs": [],
"source": []
}
],
"metadata": {
"language_info": {
"name": "python"
}
},
"nbformat": 4,
"nbformat_minor": 2
}

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