My name is Jose, I’m the founder of Data Science Retreat (DSR). We have bee in in the market for 5 years and have graduated 17 batches. We take people with an average of 5 years of experience and some machine learning knowledge and push them hard till they become ‘market ready for an ML job.’ Our graduates went into companies like Thoughtworks, Bayer, lots of startups.
The purpose of DSR is to make products that help the most possible people to live a healthy, autonomous and meaningful life.
You can talk to alumni as we list their linkedin profiles on our site. You can also watch videos of projects they made (We are two batches behind editing videos, and there are some cool recent ones!)
Things teams have built so far:

  • A microscope that runs on a phone and detects Malaria (http://aiscope.net)
  • A tool to extrapolate the roughness of sidewalks to help wheelchair users to pick the smoothest path between two points
  • (in progress) A toy self driving car that picks up cigarette butts (https://emilypicksup.wordpress.com/blog)

    Most course materials are on GitHub (under each teacher’s name).
    How do you qualify?

  • Apply, book interview (the sooner the better, as the course starts July 1st)

  • Pass phone interview (nothing major here, no white-boarding or silly questions)

  • You commit to do a team ML project with social impact and work on it exclusively for at least 3 months after the course ends

    Bonus points:

  • you have been involved in a project with social impact that uses technology

  • you have contributed to open source

    Before you pick a slot to interview:

  • Make sure you can be in Berlin from July 1st to Sept 30

  • Make sure you can sustain yourself for 3 months and pay the remaining tuition (6000 eur, in instalments)

    This is an experiment. We have had scholarships for women, and need-based ones, in the past. Also to encourage diversity. But I think this model fits best with our purpose: to make products that help the most possible people to live a healthy, autonomous and meaningful life.

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