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Contents
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| Week 1: |
Introduction: the core idea of teaching a computer to learn concepts using data. |
| Week 2: |
Linear algebra and linear regression with one variable. (programming example 1) |
| Week 3: |
Linear regression with multiple variables. (programming example 1 - continued) |
| Week 4: |
Logistic regression. (programming example 2)
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| Week 5: |
Overfitting and Regularization / Neural networks; history, architecture, and learning rules. (programming example 3) |
| Week 6: |
Applications of Machine learning in Mechanical Engineering. (Special Topics) |
| Week 7: |
Neural networks cost functions / Backpropogation algorithm. (programming example 4) |
| Week 8: |
Machine learning system design. |
| Week 9: |
Support vector machine. |
| Week 10: |
Unsupervised learning |
| Week 11: |
Data compression techniques. |
| Week 12: |
Distribution models and anomaly detection.
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| Week 13: |
Large scale machine learning.
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| Week 14: |
Application example to develop prediction models in mechanical engineering.
Project Presentations |
| Week 15*: |
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| Week 16*: |
Final Exam |
| Textbooks and materials: |
1. Prince, Simon JD. Understanding deep learning. MIT press, 2023.
2. Hagan, M.T., Demuth, H.B. and Beale, M., 1997. Neural network design. PWS Publishing Co.
3. Vapnik, Vladimir. The nature of statistical learning theory. Springer science & business media, 1999. |
| Recommended readings: |
1. Saul, Lawrence K., Yair Weiss, and Léon Bottou, eds. Advances in neural information processing systems 17: proceedings of the 2004 conference. Vol. 17. MIT Press, 2005.
2. Cherry, E. Colin. "Some experiments on the recognition of speech, with one and with two ears." The Journal of the acoustical society of America 25, no. 5 (1953): 975-979.
3. Roe, Anna W., Sarah L. Pallas, Young H. Kwon, and Mriganka Sur. "Visual projections routed to the auditory pathway in ferrets: receptive fields of visual neurons in primary auditory cortex." Journal of Neuroscience 12, no. 9 (1992): 3651-3664.
4. Métin, Christine, and Douglas O. Frost. "Visual responses of neurons in somatosensory cortex of hamsters with experimentally induced retinal projections to somatosensory thalamus." Proceedings of the National Academy of Sciences 86, no. 1 (1989): 357-361.
5. Ng, Andrew. "Machine Learning and AI via Brain simulations." Accessed: May 3 (2013): 2018.
6. Nagel, Saskia K., Christine Carl, Tobias Kringe, Robert Märtin, and Peter König. "Beyond sensory substitution—learning the sixth sense." Journal of neural engineering 2, no. 4 (2005): R13.
7. LeCun, Yann, Léon Bottou, Yoshua Bengio, and Patrick Haffner. "Gradient-based learning applied to document recognition." Proceedings of the IEEE 86, no. 11 (1998): 2278-2324. |
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* Between 15th and 16th weeks is there a free week for students to prepare for final exam.
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