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Index
Cover Front Matter Part I. Introduction to Matrix Algebra
1. Basic Matrix Computation 2. Matrix Differential 3. Gradient and Optimization 4. Solution of Linear Systems 5. Eigenvalue Decomposition
Part II. Artificial Intelligence
6. Machine Learning 7. Neural Networks 8. Support Vector Machines 9. Evolutionary Computation
Back Matter
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