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- level of emotion
- pandas
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- Deep Learning
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- Pararel Computing
- Naive Bayes example
- tensorflow
- distributed training
- utilize
- Data Distribution
- bias vs variance
- root of the word
- Insight
- machine learning
- variance bias
- plotting
- API
- ML
- color theory
- negotiate
- Learn from mistake
- Apache Beam
- online machine learning
- level of negative
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목록100-day-challenge/Vocab (3)
How much am I expressed through the data
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..
7 Important Verbs for Business 1. Come up with : (돈 / 해결책 / 아이디어 등을) 마련하다. • Can you come up with the plan by tomorrow? • How did you come up with the rent? • Maybe, come up with the better plan please? 2. Put together (우리가 생각하는 get ready같은 느낌) : (이것 저것 모아) 만들다/준비하다. • Could you put together a presentation for tomorrow? • So, I've put together a marketing campaign. 3. Word : 일하다, 되다, 작동하다. • I h..
Verb 1. to make worse, more serious, or more sever: to intensify unpleasantly Problems have been aggravated by neglect. 2. to rouse to displeasure or anger by usually persistent and often petty goading // were aggravated by the noise and traffic. // She aggravated an old knee injury. // They're afraid that we might aggravate an already bad situation.