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 positive
- NO TYPO
- color theory
- variance bias
- tensorflow
- online machine learning
- plotting
- level of emotion
- API
- NLP
- root of the word
- Naive Bayes example
- Data Distribution
- utilize
- Apache Beam
- bias vs variance
- ML
- machine learning
- negotiate
- pandas
- plot color
- color and data
- Insight
- Pararel Computing
- sweet spot in fitting
- distributed training
- Deep Learning
- Learn from mistake
- level of negative
- productivity
Archives
- Today
- Total
How much am I expressed through the data
How to better use Google Colab 본문
https://towardsdatascience.com/10-tips-for-a-better-google-colab-experience-33f8fe721b82
I will summarize the article and list the things that helped me the most.
'Programming > Python' 카테고리의 다른 글
Library, Module (0) | 2021.12.23 |
---|---|
shift optimization coding (0) | 2021.10.18 |