https://github.com/aaditya29/stanford-ai-professional

Stanford-AI-Professional-Course
https://github.com/aaditya29/stanford-ai-professional

computer-vision deep-learning graph-algorithms machine-learning meta meta-learning-algorithms natural-language-processing natural-language-understanding nlp python reinforcement-learning

Last synced: 22 days ago
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Stanford-AI-Professional-Course

• Host: GitHub
• URL: https://github.com/aaditya29/stanford-ai-professional
• Owner: aaditya29
• Created: 2024-12-03T13:07:27.000Z (about 1 month ago)
• Default Branch: main
• Last Pushed: 2024-12-03T13:47:15.000Z (about 1 month ago)
• Last Synced: 2024-12-03T14:28:51.265Z (about 1 month ago)
• Topics: computer-vision, deep-learning, graph-algorithms, machine-learning, meta, meta-learning-algorithms, natural-language-processing, natural-language-understanding, nlp, python, reinforcement-learning
• Homepage:
• Size: 2.93 KB
• Stars: 0
• Watchers: 1
• Forks: 0
• Open Issues: 0
• Metadata Files:
  • Readme: readme.md

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README

        
# Stanford AI Professional Certification Program

Welcome to the Stanford AI Professional Certification Program repository. This repository contains notes, code, homework, and projects for each course in the program. Please note that this repository is intended for educational purposes only and is not original work.

## Table of Contents

- [Introduction](#introduction)

- [Courses](#courses)

- [Notes](#notes)

- [Code](#code)

- [Projects](#projects)

## Introduction

This repository is dedicated to the Stanford AI Professional Certification Program. It serves as a comprehensive resource for students who can't be enrolled in the program, providing access to notes, code, homework assignments, and projects. All content is used as a learning resource and is not original work.

## Courses

1. Course 1(XCS221): Artificial Intelligence: Principles and Techniques

2. Course 2(XCS229): Machine Learning By Andrew Ng

3. Course 3(XCS231N): Deep Learning For Computer Vision

4. Course 4(XCS224N): Natural Language Processing WIT Deep Learning

5. Course 5(XCS224U): Natural Language Understanding

6. Course 6(XCS224W): Machine Learning With Graphs

7. Course 7(XCS234W): Reinforcement Learning

8. Course 8(XCS330W): Deep Multitask And Meta Learning

## Notes

All course notes are organized by course. These notes are for educational purposes only.

## Code

The code for each course is organized by course This code is provided as a learning resource.

## Projects

Projects are organized by course. These projects are intended for educational use only.