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The fastai book, published as Jupyter Notebooks

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Q for the book: Is it now appropriate to use TabPFN or Gradient Boosting for tabular data? https://twitter.com/westurner/status/1609566203512602625 : ![TabPFN performance](https://pbs.twimg.com/media/FflhxNNWYAQghko?format=jpg&name=small) - https://github.com/automl/TabPFN - https://arxiv.org/abs/2207.01848

Had to scroll to the README text to find the link to the text, which could've been next to the gh project/repo description: - https://fastai.github.io/fastbook2e/

I run this notebook in [Google colab](https://colab.research.google.com/github/fastai/fastbook/blob/master/15_arch_details.ipynb) and got an error when using simply the model name as the input to `create_body` function. Since `children` can be called from the...

Update the fastai datasets collection link

Here the text says that the review is positive but the image says negative. You may want to rerun the jupyter cell and update the file

Seems like 02_production.ipynb suppose to have something instead of the placeholders Maybe a reference to chapter one or the first lesson should go here? > The six lines of code...

Fixed author name (it's Ro**n** Kohavi) and associated the link with the paper, since the link goes to the paper, not the dataset. In the diff, I'm not sure if...

When running the following cell of the [08_collab.ipynb](https://github.com/fastai/fastbook/blob/master/08_collab.ipynb) ![Skjermbilde 2022-10-15 kl 10 28 12](https://user-images.githubusercontent.com/2162939/195989075-3932bcda-1c59-41be-a29e-e8b4b6e44f26.png) in a virtual environment (tried with python 3.7, 3.8, and 3.9), I get the following error...

When I was preparing for the first chapter of the course, several other examples (forest and bird, tables, etc.) were able to be trained, but this collaborative filtering example was...