zd### source code of 机器学习算法原理与编程实践
- 第一条主线是从第一代神经网络(线性分类器)、第二代神经网络(非线性)及其在预测领域的应用,到支持向量机,最后是深度学习。
- 第二条主线是贝叶斯理论,从朴素贝叶斯算法到贝叶斯网,最后是隐马尔科夫模型,这部分属于智能推理的范畴。
- 最后一条主线是矩阵降维、奇异值分解(svd)和PCA算法,因为算法简单,本书都使用真实案例进行讲解。
This project forked from wenbo/mlbook
source code of 机器学习算法原理与编程实践
zd### source code of 机器学习算法原理与编程实践
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