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ptg180

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Data Scientist at Sparked

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Sparked

San Francisco, CA (SOMA)

We're hiring front-end engineers at Sparked!

We're a crowdsourcing platform that uses social networking mechanics to unlock the assets of a company to the benefit of customers, employees, community, and the bottom line. Our products are being used by companies and organizations like Linkedin, Genentech, Microsoft, the US State Department… and the list goes on. We are profitable and looking to hire!

The key things that we're looking for:

* Masterful HTML/CSS/JS skills

* Strong Design Sensibilities

* Familiarity with PHP and the MVC architecture

* Comfort with the Agile methodology

* Mobile Development Experience

We're looking for people who are ready and willing to take creative freedom and run with it- you'll be able to work on everything from mobile web development to sweet d3.js wrangling and everything in between.

We provide competitive salaries, equity, health/dental/vision coverage, flexible work schedules, and lots of free beer!

If you're interested, but don't think that you'd call yourself a front-end developer, feel free to get in touch too- especially if you have an interest in python, machine learning and scaling big systems. We've got big things in store!

Feel free to drop a line to me at patrick@sparked.com!

What type of algorithm (or at least what general class of algorithm) is generating the model? I'm just curious because I'm wondering if the input data has to be linearly separable or if it has a limited number of classes(I think that the iris dataset is only linearly separable in one case)?