codinguncut

Competitive Machine Learning

1. feature engineering (most important by far)!!!!!
2. simple models
3. overfitting leaderboard
4. ensembling

• predict the right thing!
• build pipeline and put something on the leaderboard
• allocate time to play with data, explore
• make heavy use of forums
• understand subtleties of algos, know what tool to use when

codinguncut

Ideas for Coder Dojo - Advanced HTML

Game engine choice

• Strongest game engine is phaser.io.
• VERY easy to write games
• supports mobile and cordova
• works with "Tiled" tile editor.
• interactive sandbox (blocked) (http://phaser.io/sandbox/edit/3)
• See a cool demo here: https://www.youtube.com/watch?v=0Mu1yAkkEi8
• free lynda.com tutorial: http://www.lynda.com/Phaser-tutorials/HTML5-Game-Development-Phaser/163641-2.html

codinguncut

import Data.Char

char_to_pos c = ord c - ord 'a'
pos_to_char p = chr (p `mod` 26 + ord('a')) 

transcode_letter op key text = pos_to_char (text_offset `op` key_offset + 26)
    where [key_offset, text_offset] = map char_to_pos [key, text]

encode_letter = transcode_letter (+)
decode_letter = transcode_letter (-)

codinguncut

Required for full Cypress support

1. get/set/clear cookies by domain
2. screenshot page
3. record video of page (this can be done via getUserMedia api if it supports capturing the browser tab, which we do in firefox)
4. a way to set a proxy server for all network traffic
5. bypass the invalid ssl cert screen/prompt

Notes

• It is not possible to pass any command line arguments to Safari.

codinguncut

import torch
from torchvision import datasets, transforms
import pathlib
import random

def get_dogs_and_cats(*args, **kwargs):
    return get_dogs_and_cats_data(*args, **kwargs)

def get_dogs_and_cats_data(split="train", resize=(32,32), n_images=None, batch_size=None, is_resnet=False, **kwargs):
    if resize is None: