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| 01 | Introduction | Introduction to Machine Learning | Learn the basic concepts behind Machine Learning | [link](1-Introduction/1-intro-to-ML/README.md) | | | | | | | Author |
| 02 | Introduction | The History of Machine Learning | Learn the history underlying this field | [link](1-Introduction/2-history-of-ML/README.md) | | | | | | | Author |
| 03 | Introduction | The Ethics of Machine Learning | Learn the ethics that are important to understand when working in ML | [link](1-Introduction/3-ethics-of-ML/README.md) | | | | | | | Author |
| 04 | Tooling | Tools of the Trade | Get set up to become an ML Programmer | [link](2-Tooling/1-tools/README.md) | | | | | | | Author |
| 04 | Tooling | Tools of the Trade | Get set up to become an ML Programmer | [link](2-Tooling/1-tools/README.md) | | | | | | | Author |
| 05 | Tooling | Programming for Machine Learning Tasks | Learn basic strategies for programming for ML, using Python and JavaScript | [link](1-Introduction/2-programming/README.md) | | | | | | | Author |
| 06 | Tooling | Math Basics for ML | Basic mathematics tasks useful for Machine Learning | [link](2-Tooling/lesson/3-math/README.md) | | | | | | | Author |
| 07 | Tooling | Algorithms of Interest | Learn useful algorithms that you might use for various ML tasks | [link](2-Tooling4-algorithms/README.md) | | | | | | | Author |
| 07 | Tooling | Algorithms of Interest | Learn useful algorithms that you might use for various ML tasks | [link](2-Tooling/4-algorithms/README.md) | | | | | | | Author |
| 08 | Libraries | Tensorflow | Learn the basics of Tensorflow 2 | [link](3-Libraries/1-Tensorflow/README.md) | | | | | | | Author |
| 09 | Libraries | PyTorch | Learn how to use PyTorch | [link](3-Libraries/2-PyTorch/README.md) | | | | | | | Author |
| 10 | Libraries | Skikit-Learn | Learn about Skikit-Learn | [link](3-Libraries/3-Skikit-Learn/README.md) | | | | | | | Author |
| 11 | Libraries | Keras | Learn how to use Keras | [link](3-Libraries/4-Keras/README.md) | | | | | | | Author |
| 12 | Types of ML | Supervised Learning 1 | Learn about supervised learning | [link](4-Types/1-Supervised-1/README.md) | | | | | | | Author |
| 13 | Types of ML | Supervised Learning 2 | Learn about supervised learning | [link](4-Types/2-Supervised-2/README.md) | | | | | | | Author |
| 14 | Types of ML | Unsupervised Learning 1 | Learn about unsupervised learning | [link](4-Types/3-Unsupervised-1/README.md) | | | | | | | Author |
| 15 | Types of ML | Unsupervised Learning 2 | Learn about unsupervised learning | [link](4-Types/4-Unsupervised-2/README.md) | | | | | | | Author |
| 16 | Types of ML | Reinforcement Learning 1 | Learn about reinforcement learning | [link](4-Types/5-Reinforcement-1/README.md) | | | | | | | Author |
| 17 | Types of ML | Reinforcement Learning 2 | Learn about reinforcement learning | [link](4-Types/6-Reinforcement-2/README.md) | | | | | | | Author |
| 18 | Applied ML | Applied ML | Learn how to use ML in web sites and on edge devices | [link](5-Applied/1-Applied-ML/README.md) | | | | | | | Author |
| 19 | Applied ML | Auto ML | Learn about AutoML, sometimes called 'ML for ML' | [link](5-Applied/2-AutoML/README.md) | | | | | | | Author |
| 20 | RNN/CNN/GAN | RNNs | Learn about Recurrent Neural Networks | [link](6-RNN-CNN-GAN/1-RNN/README.md) | | | | | | | Author |
| 21 | RNN/CNN/GAN | CNNs | Learn about Convolutional Neural Networks | [link](6-RNN-CNN-GAN/2-CNN/README.md) | | | | | | | Author |
| 22 | RNN/CNN/GAN | Algorithms of Interest | Learn useful algorithms that you might use for various ML tasks | [link](6-RNN-CNN-GAN/3-GAN/README.md) | | | | | | | Author |
| 23 | Future | Deep Learning | A child field of ML, Deep Learning offers important contributions | [link](7-Future/1-Deep-Learning/README.md) | | | | | | | Author |
| 24 | Future | The Future of Machine Learning | What are the important trends that will shape the future of ML? | [link](7-Future/2-Future-Trends/README.md) | | | | | | | Author |
## Offline access
You can run this documentation offline by using [Docsify](https://docsify.js.org/#/). Fork this repo, [install Docsify](https://docsify.js.org/#/quickstart) on your local machine, and then in the root folder of this repo, type `docsify serve`. The website will be served on port 3000 on your localhost: `localhost:3000`.

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