AutoML bootcamp @ Stanford Aug 11, 2015
Important note: We have only 50 spots available and over 130 people have pre-registered for the Stanford Hackathon. We will guarantee spots in the order of homework submission date, so the earlier you complete and submit your homework the better chance you have at securing your spot! The final deadline for all submissions is August 7, 2015.

Once we have confirmed all 50 spots the form will be removed from the web-page.
First name *
Last name *
Email *
Country *
Contry where you live. If US, add also a state, e.g. type "US, California"
Codalab username *
Register to Codalab at http://codalab.org.
Affiliation/University *
type 'NA' if none
Preferences -- the hackathon track *
Python knowledge (we will allocate people into groups with similar experience) *
Starting filling the form -- checklist (you need to agree to all) *
Required
"Free lunch" compulsory check list (required homework) *
In machine learning there is NO free lunch. To win your free food complete ALL the following prerequisites. This will also guarantee you WiFi access and GPU access, and participation in the hackthon. Numbers in ( ) refer to the comments below. If you have a problem and cannot solve it by searching on the internet (bing.com), write to events@chalearn.org
Required
Comments
(1) Go to the "Participate" tab, accept the rules, go to "Get data" in the left side menu, scroll down. Complete the pre-requisites by downloading the datasets of Round 1 and 2. It is OK to put them all in the same directory. [datasets round1 are needed for the hackathon, round2 for this homework - good to get both now]
(2) If you already have Anaconda, update such that you have those versions or more recent ones: scikit-learn 0.15.2, numpy 1.9.1, scipi 0.14.
To update Anaconda, type at the prompt:
conda update conda
conda update anaconda
conda update scikit-learn
conda update numpy
conda update scipy
(3) You can also use any text editor. The Spyder editor coming with Anaconda can be started with the Anaconda launcher.
(4) If you use the Spyder editor, just press the green arrow. This should create a subdirectory res/  with the results. The program run.py takes input_dir and output_dir as arguments, but if you have made the change of step 8., you don't need any arguments, you can just run "python run.py" at the shell prompt, else: "python run.py /path_to_data res"
(5) Zip should Include metadata, run.py, lib/ and res/, but not the data.
(6) Go to the "Participate" tab, then to "Submit/view results" in the left side menu.
Time taken --- ONE NUMBER in MINUTES *
Time taken to do all the tasks above (homework and solving any related problems appearing). Include time of code execution (but only one if you did re-running of code for some reasons). Type '1' if you do not do the homework.
Registration checklist (confirm all) *
Required
Comments regarding the instructions (or the form in general)
If you would like to help to improve these instructions, tell us how. Rembember to describe precisely, mention the operating system version, etc. Also tell us if you think we need to describe some step that might not be obvious. PS: please keep the number of lines low (try to fit in 7-10). Write long lines if you cannot fit in 10. Do not copy long stdout/err here.
Final standings *
Required
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