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 |
Tags
- level of negative
- negotiate
- productivity
- utilize
- Pararel Computing
- NO TYPO
- color theory
- bias vs variance
- Learn from mistake
- distributed training
- variance bias
- Deep Learning
- color and data
- sweet spot in fitting
- ML
- Data Distribution
- level of positive
- level of emotion
- plot color
- root of the word
- machine learning
- pandas
- Apache Beam
- plotting
- API
- NLP
- tensorflow
- Insight
- Naive Bayes example
- online machine learning
Archives
- Today
- Total
목록NO TYPO (1)
How much am I expressed through the data
Semantic , Sentimental
Before, or when I first started studying about Natural Language Processing, I could see the term 'Semantic', 'Semantic analysis' in many references of the NLP. I initially thought 'semantic' means something heavily related to 'sentimental' which would mean related to people's emotion. And, I NAIVELY thought these two words: 'semantic' and 'sentimental' hold same meanings. I don't think there can..
100-day-challenge/Vocab
2022. 1. 25. 07:54