Datasight.io – Machine Learning for the Masses(datasight.io)
datasight.io
Datasight.io – Machine Learning for the Masses
http://datasight.io/
9 comments
[deleted]
That's one of my biggest problems with "any" of the ML as a service. You can't simply claim you can make things simpler for a lay audience when there is still a lot of infrastructure required for handling data, preprocessing/cleaning etc. At that point you will need some sort of data expertise anyways.
I've found most people who need machine learning usually want control of it/hosting it in house.
I've found most people who need machine learning usually want control of it/hosting it in house.
Hi there, founder here. Great point. We actually create a wrapper that allows you once finished to simply cut and paste a line from a CSV to get predictions - preprocessing, scaling, dummy encoding, PCA, etc all included.
We'll also deploy to an HTTP endpoint and you can call it and get JSON response.
Does that address your concerns?
We'll also deploy to an HTTP endpoint and you can call it and get JSON response.
Does that address your concerns?
It's great that you're doing all of this, there still comes a time when you're making a lot of assumptions, and I believe for most use cases a good default pipeline will work great for most use cases.
I know you guys are only targeting the very simple needs of people which is great. Keep in mind I'm far from your target audience being almost a little too deep in the machine learning side. Best of luck with it!
I know you guys are only targeting the very simple needs of people which is great. Keep in mind I'm far from your target audience being almost a little too deep in the machine learning side. Best of luck with it!
Making preprocessors for creating bag or words vectors from free text, a special IP address feature processor, etc - these are all the ways we're starting to make the automation smarter and more of a value add to experienced folks like yourself.
What value add would you want to see?
What value add would you want to see?
I usually roll my own.
I've found that certain things, especially NLP pipelines, are usually very tricky to get right.
Let me give you one example from my day to day:
Sentence segmentation/tokenization ---> part of speech tagger ---> filter words by part of speech and then rank by tfidf scores for topic relevance scoring.
Computer vision also has its own problems ---> binarize images for detection of certain kinds of features vs needing colors, so different kinds of image transformations for handling of different kinds of object recognition, or scene detection.
I also do churn prediction, by the time you're done vectorizing users, why should I take time out of my day to then upload all of this to an external service when I could just run logistic regression, random forest or what have you locally? I typically calculate profit curves and the like as well.
Re: your word vectors and deep learning. I do this in my distributed deep learning lib I hand wrote myself[1]. In my word2vec computations, I have found it takes a significant amount of data to tune right, I usually want control over this pipeline as well.
Again, not your target audience ;).
To give you some helpful feed back, don't try being everything to everybody, own a certain niche really well and run with it. If you'd like to take this discussion offline, I'd be more than happy to help, email is in my profile. Again, good luck with the service!
[1] http://deeplearning4j.org/
I've found that certain things, especially NLP pipelines, are usually very tricky to get right.
Let me give you one example from my day to day:
Sentence segmentation/tokenization ---> part of speech tagger ---> filter words by part of speech and then rank by tfidf scores for topic relevance scoring.
Computer vision also has its own problems ---> binarize images for detection of certain kinds of features vs needing colors, so different kinds of image transformations for handling of different kinds of object recognition, or scene detection.
I also do churn prediction, by the time you're done vectorizing users, why should I take time out of my day to then upload all of this to an external service when I could just run logistic regression, random forest or what have you locally? I typically calculate profit curves and the like as well.
Re: your word vectors and deep learning. I do this in my distributed deep learning lib I hand wrote myself[1]. In my word2vec computations, I have found it takes a significant amount of data to tune right, I usually want control over this pipeline as well.
Again, not your target audience ;).
To give you some helpful feed back, don't try being everything to everybody, own a certain niche really well and run with it. If you'd like to take this discussion offline, I'd be more than happy to help, email is in my profile. Again, good luck with the service!
[1] http://deeplearning4j.org/
I think value is still generated even if it doesn't solve 100% of the pipeline.
Let's say you've got 2 steps: Prep the data, build the algo + infrastructure. Let's say for the sake of argument that they're about equal in terms of difficulty. If you can drastically reduce the amount of time the second takes, that will still be a valuable speedup. And I'll bet there's tools that could be included in these types of solutions that can help with data prep also (it doesn't have to be one or the other)
Databases for instance -- there's lots of options, some proprietary, some open source -- but you'd rarely consider building your own unless as an intellectual exercise. At what point does this become true for machine learning? Saying it doesn't do 100% of my job for me doesn't mean that it won't work as a product category.
Of course, this is coming from someone with a vested interest in the category, so take that with the requisite bias...
Let's say you've got 2 steps: Prep the data, build the algo + infrastructure. Let's say for the sake of argument that they're about equal in terms of difficulty. If you can drastically reduce the amount of time the second takes, that will still be a valuable speedup. And I'll bet there's tools that could be included in these types of solutions that can help with data prep also (it doesn't have to be one or the other)
Databases for instance -- there's lots of options, some proprietary, some open source -- but you'd rarely consider building your own unless as an intellectual exercise. At what point does this become true for machine learning? Saying it doesn't do 100% of my job for me doesn't mean that it won't work as a product category.
Of course, this is coming from someone with a vested interest in the category, so take that with the requisite bias...
Founder here. Yes of course - garbage in, garbage out.
Still, we've constantly been surprised by how well we can learn on raw CSV dumps from SQL joins or just log data.
Furthermore, small business owners or non technical folks can still understand the concept of "teaching" an algorithm: things like including demographic information increase predictive power etc.
Still, we've constantly been surprised by how well we can learn on raw CSV dumps from SQL joins or just log data.
Furthermore, small business owners or non technical folks can still understand the concept of "teaching" an algorithm: things like including demographic information increase predictive power etc.
It's not a bad idea, but it just doesn't seem to me that "general purpose" machine learning as a service has any real value for lay users.
I'd love to get others thoughts on this and if they would use a service like this what you would want in something like this.
I would imagine something like churn prediction as a service, face recognition as a service, sentiment analysis,... more concrete needs could be good.
The landscape is mainly APIs (wise.io,algorithms.io,..)
BigML does decision trees as a service which at least allows you to interpret the results with a good visualization.
Ersatz does neural nets as a service with a decent GUI and an API.
I'd love to get others thoughts on this and if they would use a service like this what you would want in something like this.
I would imagine something like churn prediction as a service, face recognition as a service, sentiment analysis,... more concrete needs could be good.
The landscape is mainly APIs (wise.io,algorithms.io,..)
BigML does decision trees as a service which at least allows you to interpret the results with a good visualization.
Ersatz does neural nets as a service with a decent GUI and an API.
I like this idea a lot, and I am a potential customer — I'm developing an app that would heavily rely on complicated data analysis, and I planned to find a data scientist after completing first prototypes.
However, there's nothing at this page right now that would convince me about this service. There's no actual examples of what your technology can achieve, there's no programming API, just a promise. I understand that you're still in development, and I'm not asking for full documentation and a page of famous logos under "they use us", but at least a code snippet or something like that would make it easier to visualize.
Right now, I'm lost; my data is a lot more complicated and inter-connected then a mere spreadsheet, will you support it? How will it work? What pricing will be, and how will it be calculated? Yes, I understand that you haven't decided yet on all this things, but that's the problem: there's nothing to show except for the idea yet.
Anyway, I really hope that this service will work great, and I wish you all the luck with it.
However, there's nothing at this page right now that would convince me about this service. There's no actual examples of what your technology can achieve, there's no programming API, just a promise. I understand that you're still in development, and I'm not asking for full documentation and a page of famous logos under "they use us", but at least a code snippet or something like that would make it easier to visualize.
Right now, I'm lost; my data is a lot more complicated and inter-connected then a mere spreadsheet, will you support it? How will it work? What pricing will be, and how will it be calculated? Yes, I understand that you haven't decided yet on all this things, but that's the problem: there's nothing to show except for the idea yet.
Anyway, I really hope that this service will work great, and I wish you all the luck with it.
Datacratic has been doing what you ask for a while now (disclaimer, I work for them). We do ML, audience optimization, segmentation, multivariate and nonlinear models for small clients or for some of the largest shops in the industry. But the algorithms are indeed a small problem compared to building the on-demand infrastructure, managing the dataset, and all the rest of the challenges related to managing other people's data. Trust to handle data that doesn't belong to you is earned with great difficulty, unless it comes from shady sources.
All good points.
The flow is simple - upload a CSV and we'll spit out serialized models, CSV of results comparing algorithms, and an HTTP endpoint where you can get predictions.
To your point about being more than a flat CSV: yes that is absolutely correct. We're starting with flat but moving towards sucking in relations (automatic joins) and constructing feature vectors from that.
The flow is simple - upload a CSV and we'll spit out serialized models, CSV of results comparing algorithms, and an HTTP endpoint where you can get predictions.
To your point about being more than a flat CSV: yes that is absolutely correct. We're starting with flat but moving towards sucking in relations (automatic joins) and constructing feature vectors from that.
[deleted]
doesn't look like solid project right now. One screenshot, few word about the idea. Nothing more. There is prediction.io which looks like much solid implementation, but I still don't like it. I don't like ML software that feels like blackbox. If I can't see learning stats/graphs - I don't trust results. There is also bigml.com, but I haven't played with this yet.
You should try http://www.ersatzlabs.com -- sign up for the app at http://api.ersatzlabs.com invite code "ersatzbeta"
It's still in beta, but it's a lot more full featured than it was a few months ago. We're trying to make deep learning easy and we provide a variety of neural network algorithms backed by GPUs. Documentation still sucks... I'm co-founder.
It's a tricky balance w/ all of our products right now (BigML, Ersatz, prediction.io, datasight.io, wise.io, more) -- how to strike the right balance between appealing to Excel power users versus people who are very comfortable in matlab or python but still don't want to build their own if there's a significantly easier option.
It's still in beta, but it's a lot more full featured than it was a few months ago. We're trying to make deep learning easy and we provide a variety of neural network algorithms backed by GPUs. Documentation still sucks... I'm co-founder.
It's a tricky balance w/ all of our products right now (BigML, Ersatz, prediction.io, datasight.io, wise.io, more) -- how to strike the right balance between appealing to Excel power users versus people who are very comfortable in matlab or python but still don't want to build their own if there's a significantly easier option.
Founder here. We also do deep learning, and we include hyperparameter optimization which is a very necessary component of training any good DBN. Feel free to contact me at [email protected] if you have questions.
[deleted]
That's very interesting. I'm working on a similar concept, http://www.predictobot.com. I'm about two week from launching my beta, so I'm not sure who is further along. If any datasight.io guys are on here, we should talk. I'm in Boston, if you ex-MIT guys are still here.
Unfortunate phonetic naming clash. http://www.datacite.org/
Haha, this is great. Thanks for the link.
Seriously though. If this is a new thing you're launching you may want to consider re-naming before it becomes painful.
How can I get access to this? I tried to email [email protected] but the address bounced
[deleted](1)
More importantly, any valid ML analysis requires that the source data is good, which is impossible to guarantee with this service.