kmax12

18 ms·

121.
by kmax12 9y ago
As someone who works with a lot of people new to machine learning, I appreciate guides like this. I especially like the early slides that help frame AI vs ML vs DL so that people can have a realistic understanding of what these technologies
122.
by kmax12 9y ago
I would have expected a larger announcement for a release like this. It seems to come from Apple's acquisition of Turi in mid-2016 [0]. From what I can tell, they are open sourcing most of that product with new integrations to Core ML.
123.
by kmax12 9y ago
Feature Labs, Inc. | Software Engineer | Boston, MA | Full-time | On-site | http://www.featurelabs.com Feature Labs builds tools and APIs to enable reliable and accurate data science automation. With our technology, users can di
124.
by kmax12 9y ago
the latest release is for python 2.7 only. we have a pull request [0] up right now for python 3 that passes all the automated testing. [0] https://github.com/Featuretools/featuretools/pull/16
125.
by kmax12 9y ago
It somewhat depends on if you are looking to build AI to address business problems or if you are more interested in the type of AI work you see companies like Google discussing. I can speak to what "AI" means for most businesses o
126.
by kmax12 9y ago
Yep, text data appears to be widely used too. Hard to tell from the Kaggle survey, but a large percentage of text data I see in industry is part of relational data or connected to tables in a relational database. Things like forum comments,
127.
by kmax12 9y ago
I think this highlights the disconnect between AI researchers and industry. This research focuses on image data and then makes the claim that they want to use it to enable millions of businesses to solve problems with machine learning. Howe
128.
by kmax12 9y ago
Feature Labs, Inc. | Software Engineer | Boston, MA | Full-time | On-site | http://www.featurelabs.com Feature Labs builds automation technology for developing predictive models. With our tools, users can discover the most predi
129.
by kmax12 9y ago
I am the lead contributor of a python library called Featuretools[0]. It is intended to perform automated feature engineering on time-varying and multi-table datasets. We see it as bridging a gap between pandas and libraries for machine lea
130.
by kmax12 9y ago
In "What barriers are faced at work?", I really wish they broke down the "dirty data" response into more categories. In particular, I'd love to know if people are dealing with data quality issues, feature engineerin
131.
by kmax12 9y ago
Feature Labs, Inc. | Software Engineer | Boston, MA | Full-time | On-site | http://www.featurelabs.com Feature Labs builds automation technology for developing predictive models. With our tools, users can discover the most predi
132.
by kmax12 9y ago
Feature Labs, Inc. | Software Engineer | Boston, MA | Full-time | On-site | http://www.featurelabs.com Feature Labs builds automation technology for developing predictive models. With our tools, users can discover the most predi
133.
by kmax12 9y ago
Feature Labs, Inc. | Software Engineer | Boston, MA | Full-time | On-site | http://www.featurelabs.com Feature Labs builds automation technology for developing predictive models. With our tools, users can discover the most predi
134.
by kmax12 9y ago
Feature Labs, Inc. | Software Engineer | Boston, MA | Full-time | On-site | http://www.featurelabs.com Feature Labs is a predictive analytics platform to make data science automation a part of any organization. Using Feature Lab
135.
by kmax12 9y ago
For "medium data", my company has found a lot of success using dask [0], which mimics the pandas API, but can scale across multiple cores or machine. The community around dask is quite active and there's solid documentation t
136.
by kmax12 9y ago
Feature Labs, Inc. | Software Engineer | Boston, MA | Full-time | On-site | http://www.featurelabs.com Feature Labs is a predictive analytics platform to make data science automation a part of any organization. Using Feature Lab
137.
The Bridge Headset Powers Up iPhone VR with Positional Tracking(wired.com)
2 points by kmax12 10y ago|0 comments
138.
Why too much evidence can be a bad thing(phys.org)
8 points by kmax12 11y ago|1 comments
139.
by kmax12 11y ago
It mentions "Mike was fed with liquid food and water that the Olsens dropped directly into his oesophagus."
140.
by kmax12 11y ago
One thing I'd add is another comparison to edX. edX is a non-profit, while Coursera is for-profit. Considering that point, I view the "bait-and-switch" slightly differently, but I agree more transparency is necessary.
141.
by kmax12 12y ago
T-Mobile doesn't treat all music apps the same though. They only apply free streaming to their list of 27 app [1]. Depending on how fair they are to adding small companies to the list. this system is essentially prioritizing larger com
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Europe's Start-Up Superstar(nytimes.com)
4 points by kmax12 13y ago|0 comments
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The Busy Trap(opinionator.blogs.nytimes.com)
2 points by kmax12 13y ago|1 comments
144.
by kmax12 13y ago
details on the implementation. I wonder where things went wrong http://www.theatlantic.com/technology/archive/2013/06/health...
145.
by kmax12 13y ago
It is very different from video, in my mind. Video places emphasis on visuals, where for many lectures or meetings the audio is where most of the content is. By only talking photos or short videos at the points in time where the visuals are
146.
by kmax12 13y ago
I thought about making an app in the same vein, but for a specific purpose: recording lectures. However, I think it'd be useful in meetings. The idea was to have the ability to take a photo and associate it with the time you took it. T
147.
by kmax12 13y ago
you still cannot get access to the raw data or data in real time.
148.
by kmax12 13y ago
Such an api sort of already exists in the form of Fitbit's api which can be found at http://dev.fitbit.com/ . Fitbit holds a lot of the data hostage, but it's at least something that anyone wearing a Fitbit can easily grant access to.
149.
by kmax12 13y ago
one justification I've heard is that doctor like to serve communities they came from. thus, affirmative action ensures minorities have access to doctors.
150.
by kmax12 14y ago
love this attitude. sure they could have sought fast growth from the beginning, but sometimes proving that you are a legitimate company first speaks a lot to these guys commitment to growing tweaky into something great.

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