ppgeec_machinelearning_plus

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ppgeec_machinelearning_plus

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This is a repository for a machine learning supplementary course to EEC1509, which is a graduate course offered by PPgEEC/UFRN.

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# Federal University of Rio Grande do Norte
## Technology Center
### Graduate Program in Electrical and Computer Engineering
#### Department of Computer Engineering and Automation 
##### Special Topics in Machine Learning

#### References

- :books: [Arian Tam. Deep Learning with PyTorch - Learn Basic Deep Learning with Minimal Code in PyTorch 2.0](https://machinelearningmastery.com/deep-learning-with-pytorch)
- :books: [Stefania Cristina, Mehreen Saeed. Building Transformer Models with Attention
Implementing a Neural Machine Translator from Scratch in Keras](https://machinelearningmastery.com/transformer-models-with-attention/)
- :books: [Daniel Voigt Godoy. Deep Learning with PyTorch - Step by Step A Beginner's Guide](https://leanpub.com/pytorch)
- :fist_right: [Dataquest Academic Program](https://www.dataquest.io/academic-program/)

**Week 01**: Course Outline [![Open in PDF](https://img.shields.io/badge/-PDF-EC1C24?style=flat-square&logo=adobeacrobatreader)](https://github.com/ivanovitchm/ppgeec_machinelearning_plus/blob/main/lessons/week_01/outline.pdf)
- Motivation, Syllabus, Calender, other issues.
- Introduciton to OpenAI API
    - **Recommendation systems**: Using OpenAI to build recommendation systems that provide personalized recommendations based on user behavior and preferences.
    - **Integration with external data sources**: Combining OpenAI with external data sources like PDF documents to create more comprehensive and powerful AI models.
    - **Data visualization**: Visualizing the results of OpenAI models using charts, graphs, and other data visualization tools.
    - **Transcription and named entity recognition**: Using OpenAI to transcribe audio and video files, and extract named entities from the resulting text.
    - **Image generation**: Using OpenAI's image generation models to create custom images for a variety of applications.
    - Hands on chatGPT API [![Jupyter](https://img.shields.io/badge/-Notebook-191A1B?style=flat-square&logo=jupyter)](https://github.com/ivanovitchm/ppgeec_machinelearning_plus/blob/main/lessons/week_01/chatGPT_API.ipynb)

**Week 02**: A little more about generative AI [![Open in PDF](https://img.shields.io/badge/-PDF-EC1C24?style=flat-square&logo=adobeacrobatreader)](https://github.com/ivanovitchm/ppgeec_machinelearning_plus/blob/main/lessons/week_02/week_02.pdf)
- Hands on Midjourney [![Jupyter](https://img.shields.io/badge/-Notebook-191A1B?style=flat-square&logo=jupyter)](https://github.com/ivanovitchm/ppgeec_machinelearning_plus/blob/main/lessons/week_02/Midjourney.ipynb)

**Week 03**: Project [![Open in PDF](https://img.shields.io/badge/-PDF-EC1C24?style=flat-square&logo=adobeacrobatreader)](https://github.com/ivanovitchm/ppgeec_machinelearning_plus/blob/main/lessons/week_03/Week_03.pdf)

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