Notice
Recent Posts
Recent Comments
Link
일 | 월 | 화 | 수 | 목 | 금 | 토 |
---|---|---|---|---|---|---|
1 | 2 | 3 | 4 | 5 | ||
6 | 7 | 8 | 9 | 10 | 11 | 12 |
13 | 14 | 15 | 16 | 17 | 18 | 19 |
20 | 21 | 22 | 23 | 24 | 25 | 26 |
27 | 28 | 29 | 30 | 31 |
Tags
- feature scaling
- 챗지피티
- Andrew Ng
- 언어모델
- llama
- AI 트렌드
- ChatGPT
- AI
- Machine Learning
- Supervised Learning
- 딥러닝
- Scikitlearn
- feature engineering
- nlp
- prompt
- Unsupervised Learning
- 인공신경망
- supervised ml
- LLM
- 프롬프트 엔지니어링
- bingai
- Regression
- coursera
- GPT
- ML
- 인공지능
- learning algorithms
- neural network
- 머신러닝
- Deep Learning
Archives
- Today
- Total
목록Unsupervised Learning (1)
My Progress

1. IntuitionLinear Regression is not a good method for Classification Problem.Why?One outlier on the right changes the linear regression function. It moves decision boundary dramatically. 2. Logistic Regression2.1 FormulaLogistic function allows the function to be curved unlike the linear regression. This is a sigmoid function aka logistic function. x-axis represents the number z. It outputs a v..
AI/ML Specialization
2023. 7. 30. 16:39