导读
本系列将持续更新20个机器学习的知识点,欢迎关注。
1. 随机梯度下降
![](https://img.haomeiwen.com/i2250248/638350a90b1d7894.png)
2. 停用词
![](https://img.haomeiwen.com/i2250248/5d081fe404dd6eaf.png)
3. 不平衡数据策略
![](https://img.haomeiwen.com/i2250248/aedcd5e099550a33.png)
4. 过拟合策略
![](https://img.haomeiwen.com/i2250248/e20e39ed2e08c80d.png)
5. 监督式深度学习的核心规则
![](https://img.haomeiwen.com/i2250248/62035571d6b24c18.png)
6. 监督&非监督学习
![](https://img.haomeiwen.com/i2250248/a9c9e14f8a9c1a0b.png)
7. 支持向量机分类器
![](https://img.haomeiwen.com/i2250248/00f3aba25ad9514c.png)
8. 软间隔分类
![](https://img.haomeiwen.com/i2250248/4a54c5094d67b9df.png)
9. 支持向量
![](https://img.haomeiwen.com/i2250248/d23edda01ad72119.png)
10. SVC的径向基函数核
![](https://img.haomeiwen.com/i2250248/3b7f558c65be77e5.png)
11. T 统计量
![](https://img.haomeiwen.com/i2250248/93a99a214148eb32.png)
12. 双曲正切激活函数
![](https://img.haomeiwen.com/i2250248/49be084273ddaa95.png)
13. 张量
![](https://img.haomeiwen.com/i2250248/7f84eddd778a6efe.png)
14. 数据集
![](https://img.haomeiwen.com/i2250248/1f259e418927210d.png)
15. 加权技术
![](https://img.haomeiwen.com/i2250248/3c5df0cc9572071e.png)
16. Dropout
![](https://img.haomeiwen.com/i2250248/d269486900fd7219.png)
17. 特征缩放
![](https://img.haomeiwen.com/i2250248/9f127173f7e3aa45.png)
18. 模型的复杂度
![](https://img.haomeiwen.com/i2250248/78774da7e019653f.png)
19. 随机森林中的随机性
![](https://img.haomeiwen.com/i2250248/e926d88c8cf2d33e.png)
20. 激活阈
![](https://img.haomeiwen.com/i2250248/3f8398e51b39be04.png)
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