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标签:machine-learning
- 分享数 115
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聚类算法之K-Means算法
- 2018-03-06
- 其它
- 阅读数176
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机器学习(1)k最近邻算法、朴素贝叶斯算法、聚类算法、
- 2018-01-06
- 其它
- 阅读数579
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线性模型(Linear Model)
- 2017-12-19
- 其它
- 阅读数330
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一起开始机器学习吧——知乎live笔记
- 2017-12-13
- MATLAB
- 阅读数281
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Mini-Batch Gradient Descent
- 2017-12-12
- 其它
- 阅读数405
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Stochastic Gradient Descent
- 2017-12-12
- 其它
- 阅读数381
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逻辑回归 logistic regression 代价函数导数求解过程
- 2017-12-06
- C语言/C++
- 阅读数471
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【weekly-sharing】决策树简介
- 2017-12-04
- 其它
- 阅读数155
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Concave and Convex Function
- 2017-11-30
- 其它
- 阅读数363
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Batch Gradient Descent
- 2017-11-30
- 其它
- 阅读数225
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Get More Data
- 2017-11-30
- 其它
- 阅读数120
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Notes on learning tensorflow
- 2017-11-30
- 其它
- 阅读数543
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【weekly-sharing】拉格朗日对偶和线性可分支持向量机
- 2017-11-20
- 其它
- 阅读数204
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【weekly-sharing】学习可行性推导记录
- 2017-11-17
- 其它
- 阅读数190
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Neural Network
- 2017-11-04
- 其它
- 阅读数78
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菜鸡的学习笔记(一):DeepLab-ResNet Model代码中的相关知识点
- 2017-11-01
- 编程语言
- 阅读数681
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11.How can Machine Learn Better? - Overfitting and Solution
- 2017-10-13
- 其它
- 阅读数465
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12. 机器学习基石-How can Machine Learn Better? - Regularization
- 2017-10-13
- 其它
- 阅读数441
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10. 机器学习基石-How can Machine Learn? - Nonlinear Transformation
- 2017-10-13
- 其它
- 阅读数465
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9. 机器学习基石-How can Machine Learn? - Linear Model for Classification
- 2017-10-13
- 其它
- 阅读数645
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8. 机器学习基石-How can Machine Learn? - Logistic Regression
- 2017-10-13
- 其它
- 阅读数351
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7. 机器学习基石-How can Machine Learn? - Linear Regression
- 2017-10-13
- 其它
- 阅读数756
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5. 机器学习基石-Why can Machine Learn?
- 2017-10-11
- 其它
- 阅读数337