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Replace handson-ml2 with handson-ml3, and fix figure chapter numbers
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README.md
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README.md
@@ -15,22 +15,22 @@ Use any of the following services (I recommended Colab or Kaggle, since they off
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**WARNING**: _Please be aware that these services provide temporary environments: anything you do will be deleted after a while, so make sure you download any data you care about._
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* <a href="https://colab.research.google.com/github/ageron/handson-ml2/blob/master/" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
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* <a href="https://colab.research.google.com/github/ageron/handson-ml3/blob/main/" target="_parent"><img src="https://colab.research.google.com/assets/colab-badge.svg" alt="Open In Colab"/></a>
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* <a href="https://homl.info/kaggle/"><img src="https://kaggle.com/static/images/open-in-kaggle.svg" alt="Open in Kaggle" /></a>
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* <a href="https://mybinder.org/v2/gh/ageron/handson-ml2/HEAD?filepath=%2Findex.ipynb"><img src="https://mybinder.org/badge_logo.svg" alt="Launch binder" /></a>
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* <a href="https://mybinder.org/v2/gh/ageron/handson-ml3/HEAD?filepath=%2Findex.ipynb"><img src="https://mybinder.org/badge_logo.svg" alt="Launch binder" /></a>
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* <a href="https://homl.info/deepnote/"><img src="https://deepnote.com/buttons/launch-in-deepnote-small.svg" alt="Launch in Deepnote" /></a>
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### Just want to quickly look at some notebooks, without executing any code?
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* <a href="https://nbviewer.jupyter.org/github/ageron/handson-ml2/blob/master/index.ipynb"><img src="https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg" alt="Render nbviewer" /></a>
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* <a href="https://nbviewer.jupyter.org/github/ageron/handson-ml3/blob/main/index.ipynb"><img src="https://raw.githubusercontent.com/jupyter/design/master/logos/Badges/nbviewer_badge.svg" alt="Render nbviewer" /></a>
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* [github.com's notebook viewer](https://github.com/ageron/handson-ml2/blob/master/index.ipynb) also works but it's not ideal: it's slower, the math equations are not always displayed correctly, and large notebooks often fail to open.
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* [github.com's notebook viewer](https://github.com/ageron/handson-ml3/blob/main/index.ipynb) also works but it's not ideal: it's slower, the math equations are not always displayed correctly, and large notebooks often fail to open.
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### Want to run this project using a Docker image?
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Read the [Docker instructions](https://github.com/ageron/handson-ml2/tree/master/docker).
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Read the [Docker instructions](https://github.com/ageron/handson-ml3/tree/main/docker).
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### Want to install this project on your own machine?
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@@ -38,8 +38,8 @@ Start by installing [Anaconda](https://www.anaconda.com/distribution/) (or [Mini
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Next, clone this project by opening a terminal and typing the following commands (do not type the first `$` signs on each line, they just indicate that these are terminal commands):
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$ git clone https://github.com/ageron/handson-ml2.git
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$ cd handson-ml2
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$ git clone https://github.com/ageron/handson-ml3.git
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$ cd handson-ml3
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Next, run the following commands:
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@@ -76,4 +76,4 @@ See [INSTALL.md](INSTALL.md)
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See [INSTALL.md](INSTALL.md)
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## Contributors
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I would like to thank everyone [who contributed to this project](https://github.com/ageron/handson-ml2/graphs/contributors), either by providing useful feedback, filing issues or submitting Pull Requests. Special thanks go to Haesun Park and Ian Beauregard who reviewed every notebook and submitted many PRs, including help on some of the exercise solutions. Thanks as well to Steven Bunkley and Ziembla who created the `docker` directory, and to github user SuperYorio who helped on some exercise solutions.
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I would like to thank everyone [who contributed to this project](https://github.com/ageron/handson-ml3/graphs/contributors), either by providing useful feedback, filing issues or submitting Pull Requests. Special thanks go to Haesun Park and Ian Beauregard who reviewed every notebook and submitted many PRs, including help on some of the exercise solutions. Thanks as well to Steven Bunkley and Ziembla who created the `docker` directory, and to github user SuperYorio who helped on some exercise solutions.
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