# AI School 1st

### \[1주차] 파이썬 기초

> [어서와! 자료구조와 알고리즘은 처음이지? - 1](https://sangmandu.gitbook.io/til/2020/dec/1)

> [어서와! 자료구조와 알고리즘은 처음이지? - 2](https://sangmandu.gitbook.io/til/2020/dec/2)

> [파이썬을 무기로, 코딩테스트 광탈을 면하자! - 1](https://sangmandu.gitbook.io/til/2020/dec/2)

> [파이썬을 무기로, 코딩테스트 광탈을 면하자! - 2](https://sangmandu.gitbook.io/til/2020/dec/3)

> [코딩테스트 더 풀어보기](https://sangmandu.gitbook.io/til/2020/dec/4)

### \[2주차] 인공지능 수학

> [선형대수](https://sangmandu.gitbook.io/til/2020/dec/7)

> [미적분](https://sangmandu.gitbook.io/til/2020/dec/8)

> [자료의 정리](https://sangmandu.gitbook.io/til/2020/dec/9)

> [확률과 확률분포](https://sangmandu.gitbook.io/til/2020/dec/10)

> [추정, 검정, 엔트로피](https://sangmandu.gitbook.io/til/2020/dec/11)

### \[3주차] Python 기반 데이터 처리(Numpy, Pandas, Matplotlib)

> [Python으로 데이터 다루기 - Numpy](https://sangmandu.gitbook.io/til/2020/dec/14)

> [Python으로 데이터 다루기 - Pandas](https://sangmandu.gitbook.io/til/2020/dec/15)

> [Python으로 시각화하기 - Matplotlib](https://sangmandu.gitbook.io/til/2020/dec/16)

> [데이터 씹고 뜯고 맛보고 즐기기 - EDA](https://sangmandu.gitbook.io/til/2020/dec/17)

> [EDA Project](https://sangmandu.gitbook.io/til/2020/dec/18)

### \[4주차] Python으로 웹 다루기

> [Web Application with Flask](https://sangmandu.gitbook.io/til/2020/dec/21)

> [Machine Learning Serving API 개발 with Cloud](https://sangmandu.gitbook.io/til/2020/dec/26)

> [Web Application with Django](https://sangmandu.gitbook.io/til/2020/dec/25)

> [동적 웹 페이지 만들기 with Django](https://sangmandu.gitbook.io/til/2020/dec/29)

> Monthly Porject

### \[5\~6주차] 머신러닝 기초(Machine Learning basics)

> [Probability](https://sangmandu.gitbook.io/til/2021/jan/4)

> [Decision Theory \&Linear Regression / E2E](https://sangmandu.gitbook.io/til/2021/jan/7)

> [Linear Algebra](https://sangmandu.gitbook.io/til/2021/jan/8)

> [Probability Distributions](https://sangmandu.gitbook.io/til/2021/jan/11)

> [Linear Models for Regression](https://sangmandu.gitbook.io/til/2021/jan/12)

> [Linear Models for Classification - 1](https://sangmandu.gitbook.io/til/2021/jan/13)

> [Linear Models for Classification - 2](https://sangmandu.gitbook.io/til/2021/jan/14)

> [Linear Models for Classification - 3](https://sangmandu.gitbook.io/til/2021/jan/15)

### \[7\~8주차] 딥러닝 (Deep Learning)

> [인공지능과 기계학습 소개](https://sangmandu.gitbook.io/til/2021/jan/18)

> [기계학습과 수학 리뷰](https://sangmandu.gitbook.io/til/2021/jan/19)

> [신경망 기초](https://sangmandu.gitbook.io/til/2021/jan/20)

> [Multi Layer Perceptron](https://sangmandu.gitbook.io/til/2021/jan/21)

> [Deep Learning 기초 - 1](https://sangmandu.gitbook.io/til/2021/jan/22)

> [Deep Learning 기초 - 2](https://sangmandu.gitbook.io/til/2021/jan/25)

> [Deep Learning 기초 - 3](https://sangmandu.gitbook.io/til/2021/jan/26)

> [CNN Models](https://sangmandu.gitbook.io/til/2021/jan/27)

> [Deep Learning 최적화](https://sangmandu.gitbook.io/til/2021/jan/28)

> RNN

### \[9주차] Big Data

> [개요](https://sangmandu.gitbook.io/til/2021/feb/1)

> [Spark I](https://sangmandu.gitbook.io/til/2021/feb/2)

> [Spark II](https://sangmandu.gitbook.io/til/2021/feb/3)

> [Spark III](https://sangmandu.gitbook.io/til/2021/feb/4)

> [Spark IV](https://sangmandu.gitbook.io/til/2021/feb/5)

### \[10주차] NLP

> [텍스트 전처리](https://sangmandu.gitbook.io/til/2021/feb/15)

> [언어모델](https://sangmandu.gitbook.io/til/2021/feb/16)

> [문서분류](https://sangmandu.gitbook.io/til/2021/feb/17)

> [단어 임베딩](https://sangmandu.gitbook.io/til/2021/feb/18)

> Transformer와 BERT

### \[11주차] Visual Recognition

> [Visual Recognition : 물체인식, 전이학습기반 커스텀 영상인식, 영상 기반, 이물질 검출](https://sangmandu.gitbook.io/til/2021/feb/22)

> [Visual Recognition : Object Detection, Faster RCNN](https://sangmandu.gitbook.io/til/2021/feb/23)

> Visual Recognition : Object Segmentation, YOLO, SSD 기반의 Object Detection

> MaskRCNN, GAN

> GAN(Generative Adversarial Networks), Style Transfer

### \[12주차] Recommendation System

> Recommendation system이란

> [Basic Recommendation System 구현](https://sangmandu.gitbook.io/til/2021/mar/2)

> [Basic Recommendation System 구현 II](https://sangmandu.gitbook.io/til/2021/mar/3)

> [Deep Learning 기반의 Recommendation System 구현 I](https://sangmandu.gitbook.io/til/2021/mar/4)

> Deep Learning 기반의 Recommendation System 구현 II
