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> In machine learning, support vector machines (SVMs, also support vector networks[1]) are supervised learning models with associated learning algorithms that analyze data and recognize patterns, used…
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MIT-SelefDriving Course 笔记
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1. Difference between ML(Machine Learning) & DL (Deep Learning)
- ML: input -> Feature extractoiin (human beings to do that) -> …
Iranb updated
5 years ago
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When I type
kw_model = KeyBERT()
kw_model.extract_keywords(doc, keyphrase_ngram_range=(1, 1), stop_words=None)
I get
[('supervised', 0.6676), ('labeled', 0.4896), ('learning', 0…
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### Idea Contribution
- [X] I have read all the feature request issues.
- [X] I'm interested in working on this issue
- [X] I'm part of GSSOC organization
### Explain feature request
Adding proper …
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# The correct way to evaluate online machine learning models - Max Halford
Motivation Most supervised machine learning algorithms work in the batch setting, whereby they are fitted on a training set …
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It sounds like this project should lend itself well to a machine learning analysis. Are you leaning towards a particular type of supervised model, or is that what you intend to explore through the pro…
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**Describe Your Contribution Here**
Understand the concepts of Supervised, Unsupervised, and Reinforcement Learning Techniques in simple words.
https://www.showwcase.com/show/17667/the-machine-lea…
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[https://peekaboo-vision.blogspot.com/2013/01/machine-learning-cheat-sheet-for-scikit.html](url)
https://scikit-learn.org/dev/tutorial/machine_learning_map/index.html#ml-map
![image](https://use…
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## Participant Details
**Name/Nickname:** Gayu
**Pronouns:** She/Her
**Domain:** Machine Learning
## Milestones
- [x] Code for 30 days
- [ ] I would like to learn about Supervised Learni…