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README.md

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## Machine Learning University Accelerated Natural Language Processing Class
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![logo](data/MLU_Logo.png)
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## Machine Learning University: Accelerated Natural Language Processing Class
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This content is based on the Machine Learning University (MLU) Accelerated Natural Language Processing class. Our mission is to make Machine Learning accessible to everyone. We believe Machine Learning will be a tool for success for many people in their careers. We teach Machine Learning courses on different topics. This class is designed to help you get started with Natural Language Processing, learn widely used techniques and apply them on real-world problems.
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This repository contains __slides__, __notebooks__ and __datasets__ for the __Machine Learning University (MLU) Accelerated Natural Language Processing__ class. Our mission is to make Machine Learning accessible to everyone. We have courses available across many topics of machine learning and believe knowledge of ML can be a key enabler for success. This class is designed to help you get started with Natural Language Processing (NLP), learn widely used techniques and apply them on real-world problems.
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## YouTube
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Watch all NLP class video recordings in this [YouTube playlist](https://www.youtube.com/playlist?list=PL8P_Z6C4GcuWfAq8Pt6PBYlck4OprHXsw) from our [YouTube channel](https://www.youtube.com/channel/UC12LqyqTQYbXatYS9AA7Nuw/playlists).
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[![Playlist](https://img.youtube.com/vi/0FXKbEgz-uU/0.jpg)](https://www.youtube.com/playlist?list=PL8P_Z6C4GcuWfAq8Pt6PBYlck4OprHXsw)
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## Course Overview
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There are three lectures and one final project in this class. Course overview is below.
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| Lecture 1 | Lecture 2 | Lecture 3 |
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| :---: | :---: | :---: |
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| Introduction to ML | Tree-based Models | Neural Networks |
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| Intro to NLP and Text Processing | Regression Models | Word Embeddings |
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| Bag of Words (BoW) | Optimization-Regularization | Recurrent Neural Networks (RNN) |
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| K Nearest Neighbors (KNN) | Hyperparameter Tuning | Transformers |
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| | AWS AI/ML Services | |
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__Final Project:__ Practice working with a "real-world" NLP dataset for the final project. Final project dataset is in the [data/final_project folder](https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp/tree/master/data/final_project). For more details on the final project, check out [this notebook](https://github.com/aws-samples/aws-machine-learning-university-accelerated-nlp/blob/master/notebooks/MLA-NLP-Lecture1-Final-Project.ipynb).
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## Contribute
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If you would like to contribute to the project, see [CONTRIBUTING](CONTRIBUTING.md) for more information.
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## License
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The license for this repository depends on the section. Data set for the course is being provided to you by permission of Amazon and is subject to the terms of the [Amazon License and Access](https://www.amazon.com/gp/help/customer/display.html?nodeId=201909000). You are expressly prohibited from copying, modifying, selling, exporting or using this data set in any way other than for the purpose of completing this course. The lecture slides are released under the CC-BY-SA-4.0 License. The code examples are released under the MIT-0 License. See each section's LICENSE file for details.

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