台湾大学林轩田机器学习技法视频课程+笔记下载
两个视频截图,课程较多不一一截图了。
这门课主要涉及机器学习经典算法的三个方面:
Embedding Numerous Features: Kernel Models
Combining Predictive Features: Aggregation Models
Distilling Implicit Features: Extraction Models
总共有16节课。具体所有课程内容如下:
Embedding Numerous Features: Kernel Models
Linear Support Vector Machine
Dual Support Vector Machine
Kernel Support Vector Machine
Soft-Margin Support Vector Machine
Kernel Logistic Regression
Support Vector Regression
Combining Predictive Features: Aggregation Models
Blending and Bagging
Adaptive Boosting
Decision Tree
Random Forest
Gradient Boosted Decision Tree
Distilling Implicit Features: Extraction Models
Neural Network
Deep Learning
Radial Basis Function Network
Matrix Factorization
Finale
资源汇总
全部视频+笔记
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