benhamner

8 ms·

1. 31.▲
   Hosted Jupyter Notebooks with a free GPU attached (fork to get started)(kaggle.com)

   5 points by benhamner 8y ago|0 comments
2. 32.▲
   by benhamner 8y ago

   You can also start a new Jupyter notebook session on any of these datasets with a click (click "New Kernel"), and then accelerate your analysis by attaching a GPU to the session with another click (for applications a GPU helps, e.
3. 33.▲
   by benhamner 8y ago

   The competitions we host ( https://www.kaggle.com/competitions ) are supervised and always have a target we can create a numeric leaderboard on, but the public datasets ( https://www.kaggle.com/datasets ) are u
4. 34.▲
   by benhamner 8y ago

   All of the above, and more! One thing I'm really excited about that we're about to release is a much better explorer for tabular data (automated histograms, sorting/filtering/showing the data, and the like). We also enco
5. 35.▲
   by benhamner 8y ago

   Thanks for the feedback! Totally agree this could be clearer
6. 36.▲
   by benhamner 8y ago

   Ben from Kaggle. Open up the ~50 different individual datasets linked in separate tabs, and then quickly flip through all of them trying to get a sense of what each one is. That experience will demonstrate one of the main challenges we&#x27
7. 37.▲
   Kaggle Learn: courses in machine learning, deep learning, data viz, and more(kaggle.com)

   5 points by benhamner 9y ago|0 comments
8. 38.▲
   by benhamner 9y ago

   For those interested in a practical, hands-on course, we just released one at Kaggle https://www.kaggle.com/learn/overview
9. 39.▲
   Kaggle quarterly product update: create your data science projects on Kaggle(blog.kaggle.com)

   1 points by benhamner 9y ago|0 comments
10. 40.▲
    by benhamner 9y ago

    I shared this because another public data portal that I don't think has changed in years ended up at the top of HN. Kaggle Datasets has grown by over an order of magnitude in the past year, and jumps in scale fundamentally changes the
11. 41.▲
    by benhamner 9y ago

    We joined Google via acquisition one year ago, and Kaggle Datasets has grown from 450 datasets to over 13,000 in that timeframe. We are firmly committed to supporting and growing this platform.
12. 42.▲
    by benhamner 9y ago

    Thanks and great point! Added this to our list
13. 43.▲
    by benhamner 9y ago

    Not all the datasets are ML specific, but hopefully this helps: - https://www.kaggle.com/tags - https://www.kaggle.com/tags/linguistics - https://www.kaggle.com/tags/multiclass-cla
14. 44.▲
    by benhamner 9y ago

    Thanks for the feedback. This is likely a "not quite yet" vs. "never". Definitely understand the motivations from a user standpoint for not needing to login to download. There's some non-obvious benefits we get as a
15. 45.▲
    by benhamner 9y ago

    Our goal with Kaggle Datasets is to provide the best place to publish, collaborate on, and consume public data. As a data publisher, you have an easy way to publish data online, see how it's used, and interact with the users of the dat
16. 46.▲
    Kaggle Datasets – Discover and analyze open data(kaggle.com)

    222 points by benhamner 9y ago|36 comments
17. 47.▲
    by benhamner 9y ago

    Over 13,000 community-uploaded public datasets: https://www.kaggle.com/datasets (I work at Kaggle)
18. 48.▲
    by benhamner 9y ago

    All Kaggle problems aren't created equal. Some look like a train matrix, a single target, and a test matrix. Others are far more complex and start with much messier data and/or complex formulations. Examples: - www.kaggle.com&#x2F
19. 49.▲
    by benhamner 9y ago

    Completely agree. Data quality issues was a big part of our motivation with Kaggle Datasets (an open data platform where the quality of the dataset improves as more people use it) and Kaggle Kernels (a reproducible data science workbench th
20. 50.▲
    TSA launched a $1.5M challenge to improve body scanner threat detection(kaggle.com)

    1 points by benhamner 9y ago|0 comments
21. 51.▲
    Element.ai raises $102m Series A(techcrunch.com)

    4 points by benhamner 9y ago|0 comments
22. 52.▲
    Prophet: forecasting at scale(research.fb.com)

    520 points by benhamner 10y ago|110 comments
23. 53.▲
    by benhamner 10y ago

    Ready access to high-quality usecases and training data, along with shared knowledge of the methods that work well on these helps: https://www.kaggle.com/competitions?sortBy=numberOfTeams&gro... (disclaimer: I work at K
24. 54.▲
    by benhamner 10y ago

    Great book! We also have almost 10,000 forkable & executable R examples on Kaggle ( https://www.kaggle.com/kernels - select R from languages). Almost all of these use at least one of Hadley's libraries
25. 55.▲
    by benhamner 10y ago

    I scraped a CSV version of the data & made a graph of the verticals by batch: https://www.kaggle.com/benhamner/y-combinator-companies
26. 56.▲
    Kaggle Launches an Open Data Platform(blog.kaggle.com)

    3 points by benhamner 10y ago|0 comments
27. 57.▲
    Kaggle Launches an Open Data Platform(blog.kaggle.com)

    1 points by benhamner 10y ago|0 comments
28. 58.▲
    Kaggle Launches an Open Data Platform(blog.kaggle.com)

    3 points by benhamner 10y ago|0 comments
29. 59.▲
    Kaggle Launches an Open Data Platform(blog.kaggle.com)

    53 points by benhamner 10y ago|1 comments
30. 60.▲
    by benhamner 10y ago

    We also are growing https://www.kaggle.com/datasets , which won't necessarily have clean data, clear problem statements, and a well-defined task.