Machine Learning 文章导读
Machine Learning Algorithms
Linear Regression and Gradient Descent
Local Weighted Regression Algorithm
Logistic Regression
Naive Bayes and Laplace Smoothing
SVM(1):线性可分集的决策边界
SVM(2):Lagrange Duality求解线性可分SVM的最佳边界
SVM(3):Soft Margin 平衡之美
SVM(4):SMO算法
Recommender System:
User-Based Collaborative Recommender System
Item-Based Collaborative Recommender System
Content-Based Recommender System
其它:
算法诊断及学习曲线
高斯辨别分析 Gaussian Discriminant Analysis
Overfit,Underfit and Regularization
逻辑回归求解二分类问题的Octave仿真
逻辑回归求解图像识别问题的Octave仿真
正规方程法求解多元线性回归的Octave仿真
基于高斯分布的异常检测算法
异常检测算法的Octave仿真
K-means Clustering
Neural Network and Deep Learning
Neural Network Basic
Feedforward Neural Network and BackPropagation Algorithm
Cross-entropy Cost Function
Optimization Algorithms
Gradient Descent(Batch/Stochastic/Mini-Batch)
Deep Learning
CNN(1): Architecture
CNN(2):Sparse Interactions, Receptive Field and Parameter Sharing
CNN(3):Convolution and Channels
CNN(4):Feature map size, Padding and Stride
CNN(5):Pooling Layer
Autoencoder