Hi everyone, While working on some of my projects involving Machine learning algorithms and deep neural networks i have found that there is a lack of training data sets in many areas. Also many of them are scattered throughout web, some are extremely huge for an individual to process etc.So i thought of this idea of having a marketplace for data ,structured for machine learning communities. It can be a one stop place…
Are you familiar with the UCI repository? https://archive.ics.uci.edu/ml/datasets.html
Show HN: Concept of a marketplace for machine learning datasets
11–20 of 46 posts
Re: Show HN: Concept of a marketplace for machine learning datasets
#12Re: Show HN: Concept of a marketplace for machine learning datasets
#13There are a few services popping up with aim to provide data repositories for analysis/ML (Kaggle, data.world, /r/datasets) As someone who likes making analyses from random datasets, I have a few issues with these types of services: 1) There is often no indication of the distribution rights of the data, or whether the data was obtained ethically from the source (i.e. following the ToS). I made this mistake when I use…
Re: Show HN: Concept of a marketplace for machine learning datasets
#14Re: Show HN: Concept of a marketplace for machine learning datasets
#15I think the idea is great but you should think about this sentence: "Buy and sell your data like Ebay" next to an image of connected people. It looks like you're a shady user profile dealer. To be successful it's crucial that you draw a clear line there
Re: Show HN: Concept of a marketplace for machine learning datasets
#16like the idea - minimaxir had some good thoughts.
Re: Show HN: Concept of a marketplace for machine learning datasets
#17There are a few services popping up with aim to provide data repositories for analysis/ML (Kaggle, data.world, /r/datasets) As someone who likes making analyses from random datasets, I have a few issues with these types of services: 1) There is often no indication of the distribution rights of the data, or whether the data was obtained ethically from the source (i.e. following the ToS). I made this mistake when I use…
The system will be bootstrapped with lots of interesting big datasets: imagenet, 10m images, youtube 8m, reddit comments, hn comments, etc. Our experience is that we need a central point for researchers to get easy access to open datasets that doesn't require a AWS or GCE account.
Re: Show HN: Concept of a marketplace for machine learning datasets
#18I think the idea is great but you should think about this sentence: "Buy and sell your data like Ebay" next to an image of connected people. It looks like you're a shady user profile dealer. To be successful it's crucial that you draw a clear line there
""" Datapie offers data analysis without downloading the data. This means you need not download the massive data. No need to have massive distributed systems to process it. """
Where is your company trying to fit into the market? Is this a http://zerotoonebook.com/ or are we commodotized in this space already?
IBM offers many of the same data sets, paired with your company's private data, both annotated by Watson. IBM also does not learn from, or improve their own models, w.r.t. your company's proprietary data.
Re: Show HN: Concept of a marketplace for machine learning datasets
#19I think the idea is great but you should think about this sentence: "Buy and sell your data like Ebay" next to an image of connected people. It looks like you're a shady user profile dealer. To be successful it's crucial that you draw a clear line there
Re: Show HN: Concept of a marketplace for machine learning datasets
#20Earlier quoted context omitted.
Are you familiar with the UCI repository? https://archive.ics.uci.edu/ml/datasets.html
Yeah. I was thinking of a crowdsourced marketplace platform which follows a particular standard so all dataset supports major ML platforms, API support for programming languages for preprocessing huge datasets etc.People can prepare and sell /buy datasets. This can bring people from various streams together to solve really major issues using the data.