Pytorch for DL
in Data Science on ML/DL
Overview
- What is ML?? & What is Human Intelligence??
- input: Information
- Output: Inference
- ML needs lots of training data
- Rule based vs. Representation learning ?
- Pytorch
- A python package that provides two high-level features:
- Tensor computation (like numpy) with strong GPU acceleration
- Deep Neural Networks built on a tape-based autograd system
- More Pythonic (Imperative)
- Flex, Intuitive, cleaner code, easy to debug
- More Neural Networkic
- Write code as the network works
- forward/backward
- A python package that provides two high-level features:
마법의 연금 굴리기
마법의 연금 굴리기 요약 2부
자산배분 이렇게 투자하라
Time Series 데이터 분석 - 1
in Data Science on ML/DL
Time Series
시계열, 타임시리즈 데이터에 분석에 대해 알아보자. 
Regression 회귀분석에 대하여
in Data Science on ML/DL
