1 |
Introduction to data & ChatGPT |
Self-made teaching materials |
Lecture |
2 |
What is the problem on Data |
Self-made teaching materials |
- Lecture
- Homework: Collecting a tiny dataset.
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3 |
CV - Introduction to Image Segmentation |
Deng, J., Dong, W., Socher, R., Li, L. J., Li, K., & Fei-Fei, L. (2009, June). Imagenet: A large-scale hierarchical image database. In 2009 IEEE conference on computer vision and pattern recognition (pp. 248-255). Ieee. |
- Lecture
- Practice: clustering (K-Means, KNN) segmentation
- Homework: semantic segmentation.
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4 |
CV - Introduction to Image Classification |
- Lecture
- Practice: SVM classification
- Homework: Parameter tuning.
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5 |
National Day (Oct-10th) |
6 |
CV - Image Generation |
Rombach, R., Blattmann, A., Lorenz, D., Esser, P., & Ommer, B. (2022). High-resolution image synthesis with latent diffusion models. In Proceedings of the IEEE/CVF conference on computer vision and pattern recognition (pp. 10684-10695). |
- Lecture
- Practice: Stable diffusion & Midjourney
- Homework: Training a classification model by using AI generated content, & performance comparison
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7 |
NLP - Introduction to Language Modeling (1) |
Radford, A., Wu, J., Child, R., Luan, D., Amodei, D., & Sutskever, I. (2019). Language models are unsupervised multitask learners. OpenAI blog, 1(8), 9. |
- Lecture
- Practice: Word Vector & classification
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8 |
NLP - Introduction to Language Modeling (2) |
- Lecture
- Practice: Text processing
- Homework: Semantic analysis
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9 |
NLP - Introduction to Text Generation |
- Lecture
- Practice: Markov Chain, GPT-2
- Homework: Compare Markov Chain with ChatGPT
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10 |
NLP – Other tasks (1) |
Devlin, J., Chang, M. W., Lee, K., & Toutanova, K. (2018). Bert: Pre-training of deep bidirectional transformers for language understanding. arXiv preprint arXiv:1810.04805. |
- Lecture
- Practice: Machine reading comprehension & sentence classification by using HuggingFace
- Homework: sentence classification
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11 |
NLP – Other tasks (2) |
- Lecture
- Practice: Machine reading comprehension & question-answering by using HuggingFace
- Homework: question answering
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12 |
Project Proposal |
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Presentation |
13 |
Time Series - Introduction to Time Series Forecasting |
Self-made teaching materials |
- Lecture
- Practice: ARIMA model
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14 |
Time Series - Introduction to Time Series Forecasting |
Self-made teaching materials |
- Lecture
- Practice: RNN
- Homework: stock price prediction, performance comparision
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15 |
In-class speech |
(Tentative) Mr. Veeresh Ittangihal, Data Scientist in Micron Technology - Data Scientist in Semiconductor Industry |
16 |
Final Project |
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17 |
Final Project |
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18 |
Final Project |
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Final Project Presentation |