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Added Kaggle kernels section #181
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Some minor requests - thanks for this! :)
files/dl-2019/notes/notes-1-6.md
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- [platform.ai discussion](https://forums.fast.ai/t/platform-ai-discussion/31445) | ||
- [50 Years of Test (Un)fairness: Lessons for Machine Learning](https://128.84.21.199/pdf/1811.10104.pdf) | ||
- Convolutions: http://www.cs.cornell.edu/courses/cs1114/2013sp/sections/S06_convolution.pdf |
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These are not correctly formatted links.
docs/_data/sidebars/home_sidebar.yml
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- title: Server setup | |||
output: web | |||
folderitems: | |||
- output: web |
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Move it to be last in the 'easy' section
docs/index.md
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@@ -28,6 +28,7 @@ Here are some great choices of platforms. Click the link for more information on | |||
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These are the easiest to use; they've got all the software, data, and lessons preinstalled for you. They're a little less flexible than "full servers" (below), but are the simplest way to get started. | |||
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- [Kaggle Kernels](/start_kaggle.html); (Instant Launch, No setup required, Free) |
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Move this after 'colab'
docs/start_kaggle.md
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title: Crestle.ai |
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Wrong title
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Corrected, sorry.
# Welcome to Kaggle kernels! | ||
<img alt="" src="/images/kaggle/landing_page.png" class="screenshot"> | ||
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[Kaggle](https://kaggle.com/) is an online community of data scientists and machine learners, owned by Google, Inc. Kaggle allows users to find and publish data sets, explore and build models in a web-based data-science environment, work with other data scientists and machine learning engineers, and enter competitions to solve data science challenges. Kaggle got its start by offering machine learning competitions and now also offers a public data platform, a cloud-based workbench for data science. ([Read more here](https://en.wikipedia.org/wiki/Kaggle) |
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Please describe the downsides of kaggle kernels too. E.g. not updated at same frequency as official notebooks; not officially supported; RAM limitations (?)
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I've added a Resources & Limitations section
files/dl-2019/notes/notes-1-1.md
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- [00_notebook_tutorial.ipynb](https://nbviewer.jupyter.org/github/fastai/course-v3/blob/master/nbs/dl1/00_notebook_tutorial.ipynb) | ||
- [lesson1-pets.ipynb](https://github.com/fastai/course-v3/blob/master/nbs/dl1/lesson1-pets.ipynb) | ||
- Kaggle Kernels: |
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Let's not modify any of the notes files.
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(Sorry - I mean, let's not add the kaggle kernels to the notes files. Your other edits are appropriate however)
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I've removed the kernel links from all the notes and fixed the links in lesson 5,6,7 notes.
I've made the suggested changes, thanks. |
Added kaggle kernels link, getting started tutorial and returning to work section.
I've also updated lesson notes with the kaggle kernel links as well as lesson 5,6,7 with resources.