Skip to content

materials and entry task for intensive weekend course of machine learning

Notifications You must be signed in to change notification settings

kiwicom/mlweekend

Folders and files

NameName
Last commit message
Last commit date

Latest commit

 

History

5 Commits
 
 

Repository files navigation

Entry task story

Since the summer was kind of boring, you applied for a temporary contract on the dark web. It turned out that you’re the only data scientist in the team; the others are mostly hackers doing industrial espionage. Long story short, after some work on their side, they provided you with VPN access to a factory in Kazakhstan. They’ve enabled you to call the endpoint of one of the machines where a secret mathematical formula is hidden. Your goal is to get the formula. Unfortunately, the machine works like a black box — you can just send an x-value to it

/api/do_measurement?x=4 (the IP will be specified in the e-mail)

to measure the y-value within the resulted JSON

{"data": {"y": 188.58938971580736, "x": 4.0}}

It looks like that the machine is just a working prototype, so the readings are a bit fuzzy and it’s probably a good idea to do more measurements to get some reasonable data. Also for some intervals of x, the y-values are missing; feel free to interpolate.

Your task is do the measurements, get the secret formula f where y = f(x) and send it to the organisers (with a graph included). Please use Numpy and attach (or link) all the code you’ve used.

Send your solution to mlweekend@kiwi.com no later than midnight on Sunday, October 22. We'll send you our evaluation by Tuesday, October 24. The sooner you send your solution, the sooner we'll let you know.

About

materials and entry task for intensive weekend course of machine learning

Topics

Resources

Stars

Watchers

Forks

Releases

No releases published

Packages

No packages published