人工智能的数学基础-东南大学出版社 pdf下载

●Preface
1.Why Learn the Mathematics of AI
2.Data,Data,Data
3.Fitting Functions to Data
4.Optimization for Neural Networks
5.Convolutional Neural Networks and Computer Vision
6.Singular Value Decomposition:Image Processing,Natural Language Processing and Social Media
7.Natural Language and Finance AI:Vectorization and Time Series
8.Probabilistic Generative Models
9.Graph Models
10.Operations Research
11.Probability
12.Mathematical Logic
13.Artificial Intelligence and Partial Differential Equations
14.Artificial Intelligence,Ethics,Mathematics,Law,and Policy
Index