机器学习模型(初级算法梳理三)

机器学习 = 数据（data） + 模型（model） + 优化方法（optimal strategy）

机器学习的算法导图[来源网络]

机器学习的注意事项[来源网络]

常见的机器学习算法

1. Linear Algorithms

1. Linear Regression
2. Lasso Regression
3. Ridge Regression
4. Logistic Regression

2. Decision Tree

1. ID3
2. C4.5
3. CART

3. SVM
4. Naive Bayes Algorithms

1. Naive Bayes
2. Gaussian Naive Bayes
3. Multinomial Naive Bayes
4. Bayesian Belief Network (BBN)
5. Bayesian Network (BN)

5. kNN
6. Clustering Algorithms

1. k-Means
2. k-Medians
3. Expectation Maximisation (EM)
4. Hierarchical Clustering

7. K-Means
8. Random Forest
9. Dimensionality Reduction Algorithms
10. Gradient Boosting algorithms

1. GBM
2. XGBoost
3. LightGBM
4. CatBoost

11. Deep Learning Algorithms

1. Convolutional Neural Network (CNN)
2. Recurrent Neural Networks (RNNs)
3. Long Short-Term Memory Networks (LSTMs)
4. Stacked Auto-Encoders
5. Deep Boltzmann Machine (DBM)
6. Deep Belief Networks (DBN)