isLouisHsu / isLouisHsu/isLouisHsu.github.io
Support Vector Machine | LOUIS' BLOG
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Description
https://louishsu.xyz/2019/05/27/Support-Vector-Machine/
前言Github: isLouisHsu/Basic-Machine-Learning-Algorithm/algorithm/p97_svm.py 补一补支持向量机的笔记。 支持向量机(SVM)为有监督学习算法，可用于回归、分类甚至聚类(支持向量聚类)，其主要特点为 将样本表示为超空间中的点； 求取支持向量，其余样本点对超平面无影响； 对于线性不可分问题，利用核函数映射到高维空间，使其线性可分
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First steps
- Read the whole issue, then the project's contributing guide.
- Comment on the issue to say you are picking it up — it saves two people doing the same work.
- Fork the repository and make your change on a branch.
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Research direction
Read the linked Support Vector Machine article and inspect algorithm/p97_svm.py in isLouisHsu/Basic-Machine-Learning-Algorithm. Use them to determine which SVM notes are missing from the blog, then add an explanatory section covering the listed supervised-learning concepts and confirm the post is complete and published.
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Assessment
- Tech stack
- python
- Domain
- documentation, machine-learning
- Issue type
- Documentation
- Difficulty
- 3/5
- Estimated time
- 1-2 days
- Activity status
- Stale
- Clarity
- Mostly clear
- Newbie friendliness
- 45/100