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Title: Comparing lawlite19:master...thickforest:master · lawlite19/MachineLearning_Python · GitHub

Open Graph Title: Comparing lawlite19:master...thickforest:master · lawlite19/MachineLearning_Python

X Title: Comparing lawlite19:master...thickforest:master · lawlite19/MachineLearning_Python

Description: 机器学习算法python实现. Contribute to lawlite19/MachineLearning_Python development by creating an account on GitHub.

Open Graph Description: 机器学习算法python实现. Contribute to lawlite19/MachineLearning_Python development by creating an account on GitHub.

X Description: 机器学习算法python实现. Contribute to lawlite19/MachineLearning_Python development by creating an account on GitHub.

Opengraph URL: https://github.com/lawlite19/MachineLearning_Python

X: @github

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学习线性回归https://github.com/lawlite19/MachineLearning_Python/commit/38b3918ba634b644f4df917875b562f9ee62b349
View commit details https://github.com/lawlite19/MachineLearning_Python/commit/38b3918ba634b644f4df917875b562f9ee62b349
Browse repository at this point https://github.com/lawlite19/MachineLearning_Python/tree/38b3918ba634b644f4df917875b562f9ee62b349
38b3918 https://github.com/lawlite19/MachineLearning_Python/commit/38b3918ba634b644f4df917875b562f9ee62b349
https://github.com/lawlite19/MachineLearning_Python/tree/38b3918ba634b644f4df917875b562f9ee62b349
写了个生产线性数据mydata.txt的程序https://github.com/lawlite19/MachineLearning_Python/commit/9982419308dec1d3f23f161e0e826e9f0526196d
View commit details https://github.com/lawlite19/MachineLearning_Python/commit/9982419308dec1d3f23f161e0e826e9f0526196d
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https://github.com/lawlite19/MachineLearning_Python/tree/9982419308dec1d3f23f161e0e826e9f0526196d
学习最小二乘法https://github.com/lawlite19/MachineLearning_Python/commit/6f5bf86f38f33da50a7b7a226890dc98d2675518
View commit details https://github.com/lawlite19/MachineLearning_Python/commit/6f5bf86f38f33da50a7b7a226890dc98d2675518
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https://github.com/lawlite19/MachineLearning_Python/tree/6f5bf86f38f33da50a7b7a226890dc98d2675518
学习逻辑回归https://github.com/lawlite19/MachineLearning_Python/commit/f297ddb6289e50f635585b72551e1250a88e8e70
View commit details https://github.com/lawlite19/MachineLearning_Python/commit/f297ddb6289e50f635585b72551e1250a88e8e70
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f297ddb https://github.com/lawlite19/MachineLearning_Python/commit/f297ddb6289e50f635585b72551e1250a88e8e70
https://github.com/lawlite19/MachineLearning_Python/tree/f297ddb6289e50f635585b72551e1250a88e8e70
拼写错误https://github.com/lawlite19/MachineLearning_Python/commit/bbcee4238e19e9c30459c8903d76706b781b305f
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https://github.com/lawlite19/MachineLearning_Python/tree/bbcee4238e19e9c30459c8903d76706b781b305f
比较"最简单的梯度下降法"与"拟牛顿法"https://github.com/lawlite19/MachineLearning_Python/commit/483d2f45dc1c47fd35632c5e974304be9ac4e285
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https://github.com/lawlite19/MachineLearning_Python/tree/483d2f45dc1c47fd35632c5e974304be9ac4e285
神经网络:理解反向传播法https://github.com/lawlite19/MachineLearning_Python/commit/abbad20d48fc89d0f99860c33166c9d98717ada5
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