KA_AI_Stage2

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KAUST Academy AI Program 2023-2024

KA_AI_Stage2 최신버젼 다운로드

최종 버전 다운로드 (.zip)

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![1569966126](https://github.com/SaraAlthubaiti/NER-Project/blob/master/0_ZF-lzXTmWWHKoSLK.jpg)
# Stage 2: Introduction to Artificial Intelligence
 <img src="https://img.shields.io/badge/License-MIT-yellow.svg" /></a>
 
Welcome to stage 2 of Artificial Intelligence Program! This repository contains lecture slides and tutorials in Python that will help you learn the basics about artificial intelligence.

![Python](https://img.shields.io/badge/Python-3776AB?style=for-the-badge&logo=python&logoColor=white)
![Colab](https://img.shields.io/badge/Colab-F9AB00?style=for-the-badge&logo=googlecolab&color=525252)

## Materials (will be updated daily) :space_invader:

| Topic  | Open in Colab|  Slides | Additional Exercises
| :---:         |     :---:      |  :---: |  :---:
| Linear Regression Basics | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://drive.google.com/file/d/1K1fismRb7tW60a-3tqHf1bZfX8UZBUkf/view?usp=sharing)| [Day 1](https://docs.google.com/presentation/d/1RKnOHUOO2sBLtsgsg-xo-SbRXJryGi5v/edit?usp=sharing&ouid=106548905542254481695&rtpof=true&sd=true)
| Logistic Regression | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://colab.research.google.com/drive/1fGDHpCPXS5b0vyKdhFqqhZUtMY3Q_D2K?usp=sharing)| [Day 2](https://docs.google.com/presentation/d/1qqYhuTUSuoyQwGYM_EmUeZ3bKH2Xt4Vo/edit?usp=sharing&ouid=106548905542254481695&rtpof=true&sd=true) | [Exercise 1](https://colab.research.google.com/drive/12GmmOf54PdtBPwQBRRYuR0g5pmHq4r16?usp=sharing) [Exercise 2](https://drive.google.com/file/d/1-vx6uqBmu2jDxa7vse26MntDxwWXEmzt/view?usp=sharing)
| Neural Networks | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://drive.google.com/file/d/12c2F8ZFSBonwcAvKIBNt41H2DjiLTJVq/view?usp=sharing)| [Day 3](https://docs.google.com/presentation/d/1BB4u6zcwalf89xzCL-1gwKz-w2-ZOlhC/edit?usp=sharing&ouid=106548905542254481695&rtpof=true&sd=true) | [Exercise 1](https://drive.google.com/file/d/12c2F8ZFSBonwcAvKIBNt41H2DjiLTJVq/view?usp=sharing) [Exercise 2](https://drive.google.com/file/d/1jI6UGPPklGF4L7L-U5oWJqXEHlDCgYcj/view?usp=sharing)
| Applications | [![Open In Colab](https://colab.research.google.com/assets/colab-badge.svg)](https://drive.google.com/file/d/17Fa7MxiJn__rhzuYm8TXvCw-j4a2Km8m/view?usp=sharing)| [Day 4](https://docs.google.com/presentation/d/1KF6VnP3eUXkrVOeiN-ev1-jMLR7Df83U/edit?usp=sharing&ouid=106548905542254481695&rtpof=true&sd=true) | [Exercise 1](https://drive.google.com/file/d/17Fa7MxiJn__rhzuYm8TXvCw-j4a2Km8m/view?usp=sharing) [Exercise 2](https://drive.google.com/file/d/1o_u-gbu2qw1mdi-c5RBUjoBFnB1GFXt-/view?usp=sharing) [Exercise 3](https://drive.google.com/file/d/15C30z2isdL5cyV4LWTVpmqoMRAN50uWd/view?usp=sharing)

## Dependencies
[Google Colab](https://colab.research.google.com) provides all the necessary dependencies for running the code in this repository. You do not need to install any additional packages.

## Useful resources

- https://www.youtube.com/watch?v=BRoWn5nCtqE&list=PLRti8mDcwZH0LxfojJS_CLrDyTNdiEFJm
- For tuning the parameters: https://machinelearningmastery.com/how-to-grid-search-hyperparameters-for-pytorch-models/

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