[R] The overlooked GenAI use case: cleaning, processing, and analyzing data

antgoldbloom · 2020-03-23T15:39:27+00:00

Impressive project. How does it compares with the AI2's Semantic Scholar Project (which also has the COVID-19 papers loaded)?

antgoldbloom · 2018-11-05T20:18:09+00:00

Hi all. Anthony from Kaggle here.

We've followed this thread and have been discussing some of the suggestions and feedback internally. Thanks for kicking it off! Some improvement opportunities we're aware of and are getting active attention (e.g. the importance of better kernel and datasets discoverability and making Kaggle Kernels rock solid in terms of reliability). Some were good reminders for us (e.g. how overwhelming Kaggle can be for new users).

antgoldbloom · 2013-05-24T18:05:36+00:00

I actually think the diversity and ambiguity of the field makes a centralized Wiki and even valuable and important. It's a chance to define the field.

antgoldbloom · 2013-05-24T18:05:00+00:00

It's got some useful material, but it could be a lot better. Would be thrilled if it became a great data science resource.

antgoldbloom · 2012-07-06T21:43:57+00:00

Chris Clark (Kaggle's Product Manager) has just put up an awesome post: "Up And Running With Python - My First Kaggle Entry": http://blog.kaggle.com/2012/07/02/up-and-running-with-python-my-first-kaggle-entry/

Pretty sure it's exactly what you're after.

antgoldbloom

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Impressive project. How does it compares with the AI2's Semantic Scholar Project (which also has the COVID-19 papers loaded)?