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11
机器学习
10
Machine Learning
10
支持向量机
8
SVM
8
EM Algorithm
2
Clustering
1
GAN
1
GMM
1
TPU
1
Wassserstein GAN
1
google colab
1
2019
Training a Wasserstein GAN on the free google colab TPU
使用谷歌免费TPU训练Wasserstein GAN 模型
EM Algorithm and Gaussian Mixture Model for Clustering
EM算法与高斯混合模型
An Introduction to Expectation-Maximization (EM) Algorithm
EM算法详解
An Introduction to Support Vector Machines (SVM): A Python Implementation
支持向量机(SVM)概述:Python 代码实现
An Introduction to Support Vector Machines (SVM): Sequential Minimal Optimization (SMO)
支持向量机(SVM)概述:SMO算法求解对偶问题
An Introduction to Support Vector Machines (SVM): kernel functions
支持向量机(SVM)概述:核函数
An Introduction to Support Vector Machines (SVM): SVM with slack variables
支持向量机(SVM)概述:具有松弛变量的支持向量机
An Introduction to Support Vector Machines (SVM): Dual problem solution using GD
支持向量机(SVM)概述:使用梯度下降求解对偶问题
An Introduction to Support Vector Machines (SVM): Convex Optimization and Lagrangian Duality Principle
支持向量机(SVM)概述:凸优化与拉格朗日对偶问题
An Introduction to Support Vector Machines (SVM): Gradient Descent Solution
支持向量机(SVM)概述:梯度下降法
An Introduction to Support Vector Machines (SVM): Basics
支持向量机(SVM)概述:线性支持向量机