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Merge pull request #105 from joe-bender/patch-7
Change "change" to "changes" in 01_intro.ipynb, line 426
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"The best choice for GPU servers for use with this book change over time, as companies come and go, and prices change. We keep a list of our recommended options on the [book website](https://book.fast.ai/). So, go there now, and follow the instructions to get connected to a GPU deep learning server. Don't worry, it only takes about two minutes to get set up on most platforms, and many don't even require any payment, or even a credit card to get started.\n",
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"The best choice for GPU servers for use with this book changes over time, as companies come and go, and prices change. We keep a list of our recommended options on the [book website](https://book.fast.ai/). So, go there now, and follow the instructions to get connected to a GPU deep learning server. Don't worry, it only takes about two minutes to get set up on most platforms, and many don't even require any payment, or even a credit card to get started.\n",
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"> A: My two cents: heed this advice! If you like computers you will be tempted to setup your own box. Beware! It is feasible but surprisingly involved and distracting. There is a good reason this book is not titled, _Everything you ever wanted to know about Ubuntu system administration, NVIDIA driver installation, apt-get, conda, pip, and Jupyter notebook configuration_. That would be a book of its own. Having designed and deployed our production machine learning infrastructure at work, I can testify it has its satisfactions but it is as unrelated to modelling as maintaining an airplane is to flying one.\n",
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"> A: My two cents: heed this advice! If you like computers you will be tempted to setup your own box. Beware! It is feasible but surprisingly involved and distracting. There is a good reason this book is not titled, _Everything you ever wanted to know about Ubuntu system administration, NVIDIA driver installation, apt-get, conda, pip, and Jupyter notebook configuration_. That would be a book of its own. Having designed and deployed our production machine learning infrastructure at work, I can testify it has its satisfactions but it is as unrelated to modelling as maintaining an airplane is to flying one.\n",
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